INTRODUCTION

  • This script reads in the required files and attempts to address the requirements from the Initial Data Transformation section and the Predictive Analytic Tasks section.
  • Link to CPT DS challenge: https://github.com/cityofcapetown/ds_code_challenge
  • Submission for the CCT Data Scientist role, July 2022.
  • Compiler/submitter: Ryan Williams

NOTE TO READER:
Unfortunately the auto_arima function has an automated diagnositic export which could not be suppressed. The reader may scroll through these diagnositics to reach the next section of work. This is applicable to the html, as running the notebook will allow suppression of this printout by collapsing the line.

Import dependancies

Import all libraries required for this script.

In [113]:
# Import logging library and log file prior to initialising rest of code. Typically assists in prevent log file export issues.
# --------------------------------#
import logging
import datetime
logging.basicConfig(filename=datetime.datetime.now().strftime("%Y%m%d_%H%M%S")+'_log_service_hex_joins.log', filemode='w', format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)

# Import remaining libraries.
# --------------------------------#
# General libraries.
import pandas as pd
import numpy as np
from numpy import arange
import json
import time
import sys
import plotly.express as px #fig.show(renderer='notebook') #Allows all plotly plots to be exported with the html.
import missingno as msno
import matplotlib.pyplot as plt
import math

# Spatial libraries.
import geopandas as gpd
import shapely
from shapely.geometry import Polygon, Point, MultiPolygon, MultiPoint, GeometryCollection
from shapely.ops import nearest_points
from shapely.geometry.base import geom_factory
from shapely.geos import lgeos
from shapely import wkt
from area import area

# Mapping.
import folium
from folium import plugins
from folium import Map, FeatureGroup, Marker, LayerControl
from folium.features import GeoJson, GeoJsonTooltip, GeoJsonPopup
from folium.plugins import MarkerCluster
from folium.plugins import MeasureControl
from folium.plugins import MousePosition
from folium.plugins import FloatImage

# Introspection specific libraries.
# --------------------------------#
#Stationary/non-stationary time series analysis.
from statsmodels.tsa.stattools import adfuller

# Ridge Regression.
from sklearn.linear_model import RidgeCV
from sklearn.model_selection import RepeatedKFold

# Auto ARIMA
from statsmodels.tsa.arima_model import ARIMA
import pmdarima as pm #pip install pmdarima --user (resolved environment issues.)

# Classification specific libraries.
# --------------------------------#
from sklearn.cluster import DBSCAN
from sklearn.cluster import KMeans

Defined upfront functions

In [114]:
area_me_rdme={
    'type':float,
    'units':'square kms',
    'docstring':'From geometric object (shapely geometry), in decimal degrees format (crs="EPSG:4326"), outputs area of polygon in square kilometers'
}

def area_me(polygon)->area_me_rdme: #Polygon is in DD format for coords.
    return area(json.dumps(shapely.geometry.mapping(polygon)))/10**6
In [115]:
# To view annotations please uncomment the below eg of docstring below.
# -------------------#

# Export unit format.
# area_me.__annotations__['return']['type']

# Export units.
# area_me.__annotations__['return']['units']

# Export Description.
area_me.__annotations__['return']['docstring']
Out[115]:
'From geometric object (shapely geometry), in decimal degrees format (crs="EPSG:4326"), outputs area of polygon in square kilometers'
In [116]:
polyFix_it_rdme={
    'type':'range of folders related to geometric test and manipulation',
    'units':'Varied per column',
    'docstring':'Function which takes in a geometry and geometry index and checks for various geometric errors, applies simple fixes and exports information about the original and adjusted geometries'
}

def polyFix_it(geom, index)->polyFix_it_rdme:
    """
    OUTPUT COLUMNS:
    -------------------------   
    'Orig_Area', - original geometry area in sqkm
    'Orignal Geometry Type', - original geometry type, eg. Point, Polygon etc.
    'Orignal Geometry Validity', - Output of validity (valid/not valid) for original geometry.
    'Orignal Geometry Validity Reason', Validity check eg. self intersection, polygon not fully joined etc.
    'Final Geometry',  - corrected geometry
    'Final Area', - corrected geometry area in sqkm
    'Final Geometry Validity', - Output of validity (valid/not valid) for corrected geometry.
    'Final Valid Ratio' - Ratio of area, original geometry area/corrected geometry area. This should be close to 1.
    
    EXAMPLE OF CALLING FUNCTION:
    ------------------------- 
    # pdf[['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio']]=pdf.apply(lambda x: polyFix_it(x['geometry'], x.name), axis=1, result_type='expand')
    
    """
    # print(index) #Debug.
    
    # Original area:
    orig_area=area_me(geom)
    orig_area_type=geom.geom_type
    is_valid_=geom.is_valid
    is_valid_reason=lgeos.GEOSisValidReason(geom._geom)
    
    if is_valid_==True:
        new_geom=geom
        corr_method='Valid geometry, no adjustments required.'
        return [orig_area, orig_area_type, is_valid_, is_valid_reason, new_geom, orig_area, 'Valid geometry, no adjustments required.', 1]
    
    # Buffer:
    buff_geom=geom.buffer(0)
    buffer_area=area_me(buff_geom)
    buffer_valid=buff_geom.is_valid
    if buffer_valid==True and buffer_area>0:
        buffer_valid_ratio=round(orig_area/buffer_area,1)
    else:
        buffer_valid_ratio=0
    
    # Stitching:
    if geom.geom_type=='Polygon':
        ls = LineString(geom.exterior)
        lr = LineString(ls.coords[:] + ls.coords[0:1])
        mls = shapely.ops.unary_union(lr)
    #     mls.geom_type
        stitch_geom = MultiPolygon(list(shapely.ops.polygonize(mls)))
        stitch_area=area_me(stitch_geom)
        stitch_valid=stitch_geom.is_valid
        if stitch_valid==True and stitch_area>0:
            stitch_valid_ratio=round(orig_area/stitch_area,1)
        else:
            stitch_valid_ratio=0
        
    #Non-viable option:
    non_viable=[orig_area, orig_area_type, is_valid_, is_valid_reason, 'Geometry Cannot Be Resolved', 0, 'Geometry Cannot Be Resolved', 'Geometry Cannot Be Resolved']
        
    if buffer_area==0 and stitch_area==0:
        return non_viable
    
#     if buffer_area==0: #Debug.
#         print(index)
        
    if orig_area>0 and buffer_area>0:
        buffer_valid_ratio=round(orig_area/buffer_area,1)
        if (is_valid_ == False) and (buffer_valid_ratio<2):
            new_geom=buff_geom
#             corr_method='Buffer used.'
        elif (is_valid_ == False) and (buffer_valid_ratio>=2):
            if geom.geom_type=='Polygon':
                new_geom=stitch_geom
                corr_method='"Stiching Points."'
            else:
                return non_viable
    elif orig_area>0 and buffer_area==0:
            if geom.geom_type=='Polygon':
                new_geom=stitch_geom
                corr_method='"Stiching Points."'
            else:
                return non_viable

    final_area = area_me(new_geom)
    final_is_valid = new_geom.is_valid
    if final_is_valid==True:
        "Adjusted Geometry is Valid."
    final_valid_ratio = round(orig_area/final_area,4)

    return [orig_area, orig_area_type, is_valid_, is_valid_reason, new_geom, final_area, final_is_valid, final_valid_ratio]
In [117]:
closest_distance_rdme={
    'type':float,
    'units':'km',
    'docstring':'Takes in two geometric shapely objects and calculates the closest distance (km) between them using the haversine formula.'
}
def closest_distance(point_poly_1,point_poly_2):
    
    cen1, cen2 = nearest_points(point_poly_1, point_poly_2)
    
    lon1, lat1 = list(cen1.coords)[0]
    lon2, lat2 = list(cen2.coords)[0]

    #Fixed variables:
    radearth=6371 #In km
    
    distlat=math.radians(lat2-lat1)
    distlon=math.radians(lon2-lon1)

    a=math.sin(distlat/2)*math.sin(distlat/2)+math.cos(math.radians(lat1))*math.cos(math.radians(lat2))*math.sin(distlon/2)*math.sin(distlon/2)
    c=2*math.atan2(math.sqrt(a),math.sqrt(1-a))
    d=radearth*c
    d=round(d,4)
    
    return d

SECTION 1: Initial Data Transformation

  • Join the equivalent of the contents of the file city-hex-polygons-8.geojson to the service request dataset, such that each service request is assigned to a single H3 resolution level 8 hexagon. Use the sr_hex.csv file to validate your work.
  • For any requests where the Latitude and Longitude fields are empty, set the index value to 0.
  • Include logging that lets the executor know how many of the records failed to join, and include a join error threshold above which the script will error out. Please motivate why you have selected the error threshold that you have.
  • Please also log the time taken to perform the operations described, and within reason, try to optimise latency and computational resources used.

Join full service requests to level 8 H3 layer

Read in service requests data (full set)

In [118]:
# Import service request data.
sr=pd.read_csv('20220703_231225_service_requests.csv')
sr
Out[118]:
Unnamed: 0.1 Unnamed: 0 notification_number reference_number creation_timestamp completion_timestamp directorate department branch section code_group code cause_code_group cause_code official_suburb latitude longitude
0 0 0 400583534 9.109492e+09 2020-10-07 06:55:18+02:00 2020-10-08 15:36:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Blaauwberg TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Wear and tear MONTAGUE GARDENS -33.872839 18.522488
1 1 1 400555043 9.108995e+09 2020-07-09 16:08:13+02:00 2020-07-14 14:27:01+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism SOMERSET WEST -34.078916 18.848940
2 2 2 400589145 9.109614e+09 2020-10-27 10:21:59+02:00 2020-10-28 17:48:15+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism STRAND -34.102242 18.821116
3 3 3 400538915 9.108601e+09 2020-03-19 06:36:06+02:00 2021-03-29 20:34:19+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Paint Markings Lines&Signs Road Markings Wear and tear RAVENSMEAD -33.920019 18.607209
4 4 4 400568554 NaN 2020-08-25 09:48:42+02:00 2020-08-31 08:41:13+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area South District : Athlone TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure CLAREMONT -33.987400 18.453760
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
941629 941629 941629 1016508425 9.109974e+09 2020-12-31 23:49:38+02:00 2021-01-11 11:54:42+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation Water Distribution WATER Leak at Valve NaN NaN WOODSTOCK -33.931571 18.452159
941630 941630 941630 1016508432 9.109975e+09 2020-12-31 23:31:11+02:00 2021-01-04 11:46:28+02:00 WATER AND SANITATION Distribution Services Reticulation NaN SEWER Sewer: Blocked/Overflow General Foreign Objects FISANTEKRAAL -33.783246 18.716554
941631 941631 941631 1016508434 9.109975e+09 2020-12-31 23:58:21+02:00 2021-01-01 00:01:08+02:00 WATER AND SANITATION Distribution Services Reticulation NaN WATER Burst Pipe NaN NaN NaN NaN NaN
941632 941632 941632 1016508442 9.109975e+09 2020-12-31 23:41:57+02:00 2021-01-05 15:59:24+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER MANAGEMENT DEVICE No Water WMD NaN NaN WESBANK -33.971099 18.659831
941633 941633 941633 1016508443 9.109975e+09 2020-12-31 23:54:09+02:00 2021-02-23 10:38:21+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER Leak at Water Meter / Stopcock NaN NaN BIZWENI -34.088078 18.862550

941634 rows × 17 columns

In [119]:
# Convert lat lon coordinates to Point object for intersections.
sr['geometry']=sr.apply(lambda x: Point(x['longitude'], x['latitude']), axis=1)
C:\Users\ryanp\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py:122: ShapelyDeprecationWarning:

The array interface is deprecated and will no longer work in Shapely 2.0. Convert the '.coords' to a numpy array instead.

In [120]:
# Create a geodataframe.
sr=gpd.GeoDataFrame(sr, geometry='geometry', crs='EPSG:4326')
sr.info()
<class 'geopandas.geodataframe.GeoDataFrame'>
RangeIndex: 941634 entries, 0 to 941633
Data columns (total 18 columns):
 #   Column                Non-Null Count   Dtype   
---  ------                --------------   -----   
 0   Unnamed: 0.1          941634 non-null  int64   
 1   Unnamed: 0            941634 non-null  int64   
 2   notification_number   941634 non-null  int64   
 3   reference_number      592920 non-null  float64 
 4   creation_timestamp    941634 non-null  object  
 5   completion_timestamp  929442 non-null  object  
 6   directorate           932199 non-null  object  
 7   department            932180 non-null  object  
 8   branch                913233 non-null  object  
 9   section               848509 non-null  object  
 10  code_group            941634 non-null  object  
 11  code                  941634 non-null  object  
 12  cause_code_group      131117 non-null  object  
 13  cause_code            131117 non-null  object  
 14  official_suburb       729221 non-null  object  
 15  latitude              729270 non-null  float64 
 16  longitude             729270 non-null  float64 
 17  geometry              941634 non-null  geometry
dtypes: float64(3), geometry(1), int64(3), object(11)
memory usage: 129.3+ MB
In [121]:
# Check the coordinate reference system of the geodataframe.
sr.crs
Out[121]:
<Geographic 2D CRS: EPSG:4326>
Name: WGS 84
Axis Info [ellipsoidal]:
- Lat[north]: Geodetic latitude (degree)
- Lon[east]: Geodetic longitude (degree)
Area of Use:
- name: World.
- bounds: (-180.0, -90.0, 180.0, 90.0)
Datum: World Geodetic System 1984 ensemble
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich
In [122]:
# Check for any missing information.
msno.bar(sr)
Out[122]:
<AxesSubplot:>

Quite a few columns, especially "cause_code_group" and "cause_code" have a large number of missing values.

Read in hex 8 level geometries

In [123]:
# Read in hex, resolution 8 spatial file.
hex8=gpd.read_file('20220703_231253_cpt8hex_geometries.geojson', driver='GeoJSON')
hex8
Out[123]:
index centroid_lat centroid_lon geometry
0 88ad361801fffff -33.859427 18.677843 POLYGON ((18.68119 -33.86330, 18.68357 -33.859...
1 88ad361803fffff -33.855696 18.668766 POLYGON ((18.67211 -33.85957, 18.67450 -33.855...
2 88ad361805fffff -33.855263 18.685959 POLYGON ((18.68931 -33.85914, 18.69169 -33.855...
3 88ad361807fffff -33.851532 18.676881 POLYGON ((18.68023 -33.85541, 18.68261 -33.851...
4 88ad361809fffff -33.867322 18.678806 POLYGON ((18.68215 -33.87120, 18.68454 -33.867...
... ... ... ... ...
3827 88ad369715fffff -34.353404 18.479198 POLYGON ((18.48255 -34.35726, 18.48494 -34.353...
3828 88ad369717fffff -34.349672 18.470112 POLYGON ((18.47346 -34.35353, 18.47585 -34.349...
3829 88ad369733fffff -34.337717 18.477288 POLYGON ((18.48063 -34.34158, 18.48303 -34.337...
3830 88ad369739fffff -34.349293 18.487330 POLYGON ((18.49068 -34.35315, 18.49307 -34.349...
3831 88ad36973bfffff -34.345561 18.478243 POLYGON ((18.48159 -34.34942, 18.48398 -34.345...

3832 rows × 4 columns

In [124]:
# Check that all names and geometries are unique.
hex8['index'].nunique(), hex8['geometry'].nunique()
Out[124]:
(3832, 3832)
In [125]:
# Run function to check and possible correct invalid geometries.
hex8[['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio']]=hex8.apply(lambda x: polyFix_it(x['geometry'], x.name), axis=1, result_type='expand')
In [126]:
# Check that all geometries are valid.
hex8['Orignal Geometry Validity'].value_counts()
Out[126]:
True    3832
Name: Orignal Geometry Validity, dtype: int64

All geometries are valid, drop the added columns.

In [127]:
hex8.drop(columns=['Orig_Area', 'Orignal Geometry Type', 'Orignal Geometry Validity', 'Orignal Geometry Validity Reason', 'Final Geometry', 'Final Area', 'Final Geometry Validity', 'Final Valid Ratio'], inplace=True)
In [128]:
# Check for any missing information.
msno.bar(hex8)
Out[128]:
<AxesSubplot:>

No missing information.

In [129]:
# Check the coordinate reference system of the geodataframe.
hex8.crs
Out[129]:
<Geographic 2D CRS: EPSG:4326>
Name: WGS 84
Axis Info [ellipsoidal]:
- Lat[north]: Geodetic latitude (degree)
- Lon[east]: Geodetic longitude (degree)
Area of Use:
- name: World.
- bounds: (-180.0, -90.0, 180.0, 90.0)
Datum: World Geodetic System 1984 ensemble
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich
In [130]:
# Check general info of the geodataframe.
hex8.info()
<class 'geopandas.geodataframe.GeoDataFrame'>
RangeIndex: 3832 entries, 0 to 3831
Data columns (total 4 columns):
 #   Column        Non-Null Count  Dtype   
---  ------        --------------  -----   
 0   index         3832 non-null   object  
 1   centroid_lat  3832 non-null   float64 
 2   centroid_lon  3832 non-null   float64 
 3   geometry      3832 non-null   geometry
dtypes: float64(2), geometry(1), object(1)
memory usage: 119.9+ KB
In [131]:
hex8['Hex area (sqkm)']=hex8['geometry'].apply(lambda x: area_me(x))
In [132]:
hex8['Hex area (sqkm)'].describe()
Out[132]:
count    3832.000000
mean        0.699553
std         0.002831
min         0.692531
25%         0.697670
50%         0.699456
75%         0.702060
max         0.704613
Name: Hex area (sqkm), dtype: float64

Based on the percentiles listed above, the distribution is sufficiently close to use the mean area of 0.699553 sqkm for all further calculations.

Join service requests to level 8 H3

Not that Nan latitude longitude values will result in no intersections with level 8 H3.
Due to the number of service requests and number of level 8 H3 grids, the intersections will take quite some time. The time is logged below.

In [133]:
# Join the service request layer to the hex layer.
start=time.time() 
sr_hex8=gpd.sjoin(sr, hex8[['index', 'geometry']], how='left', op='within')
duration=round(time.time()-start, 4)
print('Intersections took {} seconds'.format(duration))
sr_hex8
Intersections took 15.3435 seconds
Out[133]:
Unnamed: 0.1 Unnamed: 0 notification_number reference_number creation_timestamp completion_timestamp directorate department branch section code_group code cause_code_group cause_code official_suburb latitude longitude geometry index_right index
0 0 0 400583534 9.109492e+09 2020-10-07 06:55:18+02:00 2020-10-08 15:36:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Blaauwberg TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Wear and tear MONTAGUE GARDENS -33.872839 18.522488 POINT (18.52249 -33.87284) 1047.0 88ad360225fffff
1 1 1 400555043 9.108995e+09 2020-07-09 16:08:13+02:00 2020-07-14 14:27:01+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism SOMERSET WEST -34.078916 18.848940 POINT (18.84894 -34.07892) 3055.0 88ad36d5e1fffff
2 2 2 400589145 9.109614e+09 2020-10-27 10:21:59+02:00 2020-10-28 17:48:15+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism STRAND -34.102242 18.821116 POINT (18.82112 -34.10224) 2946.0 88ad36d437fffff
3 3 3 400538915 9.108601e+09 2020-03-19 06:36:06+02:00 2021-03-29 20:34:19+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Paint Markings Lines&Signs Road Markings Wear and tear RAVENSMEAD -33.920019 18.607209 POINT (18.60721 -33.92002) 1247.0 88ad361133fffff
4 4 4 400568554 NaN 2020-08-25 09:48:42+02:00 2020-08-31 08:41:13+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area South District : Athlone TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure CLAREMONT -33.987400 18.453760 POINT (18.45376 -33.98740) 2530.0 88ad361709fffff
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
941629 941629 941629 1016508425 9.109974e+09 2020-12-31 23:49:38+02:00 2021-01-11 11:54:42+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation Water Distribution WATER Leak at Valve NaN NaN WOODSTOCK -33.931571 18.452159 POINT (18.45216 -33.93157) 2439.0 88ad361547fffff
941630 941630 941630 1016508432 9.109975e+09 2020-12-31 23:31:11+02:00 2021-01-04 11:46:28+02:00 WATER AND SANITATION Distribution Services Reticulation NaN SEWER Sewer: Blocked/Overflow General Foreign Objects FISANTEKRAAL -33.783246 18.716554 POINT (18.71655 -33.78325) 542.0 88ad3656d7fffff
941631 941631 941631 1016508434 9.109975e+09 2020-12-31 23:58:21+02:00 2021-01-01 00:01:08+02:00 WATER AND SANITATION Distribution Services Reticulation NaN WATER Burst Pipe NaN NaN NaN NaN NaN POINT EMPTY NaN NaN
941632 941632 941632 1016508442 9.109975e+09 2020-12-31 23:41:57+02:00 2021-01-05 15:59:24+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER MANAGEMENT DEVICE No Water WMD NaN NaN WESBANK -33.971099 18.659831 POINT (18.65983 -33.97110) 1502.0 88ad36c49bfffff
941633 941633 941633 1016508443 9.109975e+09 2020-12-31 23:54:09+02:00 2021-02-23 10:38:21+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER Leak at Water Meter / Stopcock NaN NaN BIZWENI -34.088078 18.862550 POINT (18.86255 -34.08808) 2974.0 88ad36d517fffff

941634 rows × 20 columns

A possible time saving could be introduced by using multiprocessing to split the spatial joins per processor.

In [134]:
# Calculate the number of service requests without valid coordinates.
no_coords=sr_hex8[(sr_hex8['latitude'].isna())  | (sr_hex8['longitude'].isna())].shape[0]

# Check the number entries (with valid coords) that did not intersect with the level 8 H3 layer.
viabe_sr_nohex=sr_hex8[~(sr_hex8['latitude'].isna()) | ~(sr_hex8['longitude'].isna())]
viabe_sr_nohex=viabe_sr_nohex[viabe_sr_nohex['index'].isna()].shape[0]

# Calculate total join error %.
join_error=(no_coords+viabe_sr_nohex)*100/len(sr_hex8)

Join errors

In [135]:
# Specify the error threshold.
error_thres=50

The error threshold is generally dependent on the nature of what the data will be used for. In this case, while it would be valuable to have a more accurate understanding of the actual spatial distrubution of all requests, not having the spatial coordinatees still allows for other information to be drawn. The spatial component does assist in resource forecasting for business units. A error threshold of 50% was chosen in this instance due to the nature of the data.

In [136]:
# Log information.
logging.info('Summary of joins:')
logging.info('-'*50)
logging.info('A total of {} service requests did not have valid coordinates.'.format(no_coords))
logging.info('A total of {} service requests did not have coordinates within the boundaries of Cape Town.'.format(viabe_sr_nohex))

# Add if/else for ERROR message.
if error_thres>join_error:
    logging.info('The current join error percentage {}% does not exceed that of the threshold({}%).'.format(join_error, error_thres))
else:
    logging.error('WARNING: The current join error percentage of {}% is beyond the {}% threshold.'.format(join_error, error_thres))
logging.info('-'*50)
In [137]:
fig = px.pie(pd.DataFrame([['Successefully joined service requests',len(sr_hex8)-(no_coords-viabe_sr_nohex)], ['Service requests with incorrect coordinates',no_coords], ['Service requests beyond bonds of Cape Town',viabe_sr_nohex]], columns=['Join verdict','Counts']),
             values='Counts', 
             names='Join verdict', 
             title='Percentage of the join verdicts for service requests to the level 8 H3 layer')
fig.show(renderer='notebook') #Allows all plotly plots to be exported with the html.

Set index to zero in cases with no lat or lon

In [138]:
# Rename columns.
sr_hex8.rename(columns={'index':'h3_level8_index'}, inplace=True)

# Fill no lat lons (aka no joins) with the string "0".
sr_hex8['h3_level8_index']=sr_hex8['h3_level8_index'].fillna("0")

Validate joins

In [139]:
# Read in pre-joined challenge file, "sr_hex.csv" aka "20220703_231236_service_requests_8hex.csv"
sr_8hex_valid=pd.read_csv('20220703_231236_service_requests_8hex.csv')
sr_8hex_valid
Out[139]:
Unnamed: 0 notification_number reference_number creation_timestamp completion_timestamp directorate department branch section code_group code cause_code_group cause_code official_suburb latitude longitude h3_level8_index
0 0 400583534 9.109492e+09 2020-10-07 06:55:18+02:00 2020-10-08 15:36:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Blaauwberg TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Wear and tear MONTAGUE GARDENS -33.872839 18.522488 88ad360225fffff
1 1 400555043 9.108995e+09 2020-07-09 16:08:13+02:00 2020-07-14 14:27:01+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism SOMERSET WEST -34.078916 18.848940 88ad36d5e1fffff
2 2 400589145 9.109614e+09 2020-10-27 10:21:59+02:00 2020-10-28 17:48:15+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism STRAND -34.102242 18.821116 88ad36d437fffff
3 3 400538915 9.108601e+09 2020-03-19 06:36:06+02:00 2021-03-29 20:34:19+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Paint Markings Lines&Signs Road Markings Wear and tear RAVENSMEAD -33.920019 18.607209 88ad361133fffff
4 4 400568554 NaN 2020-08-25 09:48:42+02:00 2020-08-31 08:41:13+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area South District : Athlone TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure CLAREMONT -33.987400 18.453760 88ad361709fffff
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
941629 941629 1016508425 9.109974e+09 2020-12-31 23:49:38+02:00 2021-01-11 11:54:42+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation Water Distribution WATER Leak at Valve NaN NaN WOODSTOCK -33.931571 18.452159 88ad361547fffff
941630 941630 1016508432 9.109975e+09 2020-12-31 23:31:11+02:00 2021-01-04 11:46:28+02:00 WATER AND SANITATION Distribution Services Reticulation NaN SEWER Sewer: Blocked/Overflow General Foreign Objects FISANTEKRAAL -33.783246 18.716554 88ad3656d7fffff
941631 941631 1016508434 9.109975e+09 2020-12-31 23:58:21+02:00 2021-01-01 00:01:08+02:00 WATER AND SANITATION Distribution Services Reticulation NaN WATER Burst Pipe NaN NaN NaN NaN NaN 0
941632 941632 1016508442 9.109975e+09 2020-12-31 23:41:57+02:00 2021-01-05 15:59:24+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER MANAGEMENT DEVICE No Water WMD NaN NaN WESBANK -33.971099 18.659831 88ad36c49bfffff
941633 941633 1016508443 9.109975e+09 2020-12-31 23:54:09+02:00 2021-02-23 10:38:21+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management WATER Leak at Water Meter / Stopcock NaN NaN BIZWENI -34.088078 18.862550 88ad36d517fffff

941634 rows × 17 columns

In [140]:
# Check counts of "0" for both geodataframes.
sr_hex8[sr_hex8['h3_level8_index']=='0'].shape[0], sr_8hex_valid[sr_8hex_valid['h3_level8_index']=='0'].shape[0]
Out[140]:
(212367, 212364)
In [141]:
# Check that notification numbers are all unique.
sr_hex8['notification_number'].nunique()
Out[141]:
941634

All notification numbers are unique and fully populated. This can be used to group and run checks.

In [142]:
# Generate a merged comparative dataframe to run some checks.
compare_sr_hex=sr_hex8.merge(sr_8hex_valid, on='notification_number', how='left')
compare_sr_hex
Out[142]:
Unnamed: 0.1 Unnamed: 0_x notification_number reference_number_x creation_timestamp_x completion_timestamp_x directorate_x department_x branch_x section_x ... branch_y section_y code_group_y code_y cause_code_group_y cause_code_y official_suburb_y latitude_y longitude_y h3_level8_index_y
0 0 0 400583534 9.109492e+09 2020-10-07 06:55:18+02:00 2020-10-08 15:36:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Blaauwberg ... RIM Area Central District: Blaauwberg TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Wear and tear MONTAGUE GARDENS -33.872839 18.522488 88ad360225fffff
1 1 1 400555043 9.108995e+09 2020-07-09 16:08:13+02:00 2020-07-14 14:27:01+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West ... RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism SOMERSET WEST -34.078916 18.848940 88ad36d5e1fffff
2 2 2 400589145 9.109614e+09 2020-10-27 10:21:59+02:00 2020-10-28 17:48:15+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West ... RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism STRAND -34.102242 18.821116 88ad36d437fffff
3 3 3 400538915 9.108601e+09 2020-03-19 06:36:06+02:00 2021-03-29 20:34:19+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville ... RIM Area North District : Bellville TD Customer complaint groups Paint Markings Lines&Signs Road Markings Wear and tear RAVENSMEAD -33.920019 18.607209 88ad361133fffff
4 4 4 400568554 NaN 2020-08-25 09:48:42+02:00 2020-08-31 08:41:13+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area South District : Athlone ... RIM Area South District : Athlone TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure CLAREMONT -33.987400 18.453760 88ad361709fffff
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
941629 941629 941629 1016508425 9.109974e+09 2020-12-31 23:49:38+02:00 2021-01-11 11:54:42+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation Water Distribution ... Reticulation Reticulation Water Distribution WATER Leak at Valve NaN NaN WOODSTOCK -33.931571 18.452159 88ad361547fffff
941630 941630 941630 1016508432 9.109975e+09 2020-12-31 23:31:11+02:00 2021-01-04 11:46:28+02:00 WATER AND SANITATION Distribution Services Reticulation NaN ... Reticulation NaN SEWER Sewer: Blocked/Overflow General Foreign Objects FISANTEKRAAL -33.783246 18.716554 88ad3656d7fffff
941631 941631 941631 1016508434 9.109975e+09 2020-12-31 23:58:21+02:00 2021-01-01 00:01:08+02:00 WATER AND SANITATION Distribution Services Reticulation NaN ... Reticulation NaN WATER Burst Pipe NaN NaN NaN NaN NaN 0
941632 941632 941632 1016508442 9.109975e+09 2020-12-31 23:41:57+02:00 2021-01-05 15:59:24+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management ... Customer Services (Water) Meter Management WATER MANAGEMENT DEVICE No Water WMD NaN NaN WESBANK -33.971099 18.659831 88ad36c49bfffff
941633 941633 941633 1016508443 9.109975e+09 2020-12-31 23:54:09+02:00 2021-02-23 10:38:21+02:00 WATER AND SANITATION Commercial Services Customer Services (Water) Meter Management ... Customer Services (Water) Meter Management WATER Leak at Water Meter / Stopcock NaN NaN BIZWENI -34.088078 18.862550 88ad36d517fffff

941634 rows × 36 columns

In [143]:
# Extract the misaligment "0" assignments.
problem_hex8=list(compare_sr_hex[(compare_sr_hex['h3_level8_index_x']=='0') & (compare_sr_hex['h3_level8_index_y']!='0')]['h3_level8_index_y'].unique())
problem_hex8
Out[143]:
['88ad36c629fffff', '88ad361b51fffff']
In [144]:
# Check the problem h3 level 8 hex from the geosjon file.
hex8[hex8['index'].isin(problem_hex8)]
Out[144]:
index centroid_lat centroid_lon geometry Hex area (sqkm)

These hex references do not exist in the "city-hex-polygons-8.geojson" supplied which is why the spatial joins could not be assigned. This accounts for the discrepancy for "0" assignments.

Check if these problem hex indices are part of the full H3 hex resolution levels 8, 9 and 10 file.

In [145]:
# Read in hex, resolution 8 spatial file.
hex8_10=gpd.read_file('20220703_231318_cpt8_10hex_geometries.geojson', driver='GeoJSON')
hex8_10
Out[145]:
index centroid_lat centroid_lon resolution geometry
0 88ad361801fffff -33.859427 18.677843 8 POLYGON ((18.68119 -33.86330, 18.68357 -33.859...
1 88ad361803fffff -33.855696 18.668766 8 POLYGON ((18.67211 -33.85957, 18.67450 -33.855...
2 88ad361805fffff -33.855263 18.685959 8 POLYGON ((18.68931 -33.85914, 18.69169 -33.855...
3 88ad361807fffff -33.851532 18.676881 8 POLYGON ((18.68023 -33.85541, 18.68261 -33.851...
4 88ad361809fffff -33.867322 18.678806 8 POLYGON ((18.68215 -33.87120, 18.68454 -33.867...
... ... ... ... ... ...
203835 8aad36973b6ffff -34.348444 18.474894 10 POLYGON ((18.47537 -34.34899, 18.47571 -34.348...
203836 8aad36973b77fff -34.348389 18.477354 10 POLYGON ((18.47783 -34.34894, 18.47817 -34.348...
203837 8aad36973b8ffff -34.345507 18.480703 10 POLYGON ((18.48118 -34.34606, 18.48152 -34.345...
203838 8aad36973ba7fff -34.347161 18.482137 10 POLYGON ((18.48262 -34.34771, 18.48296 -34.347...
203839 8aad36973baffff -34.346627 18.480839 10 POLYGON ((18.48132 -34.34718, 18.48166 -34.346...

203840 rows × 5 columns

In [146]:
# Check if any of the misaligned "0" level 8 hex indices occur in the large file.
hex8_10[hex8_10['index'].isin(problem_hex8)]
Out[146]:
index centroid_lat centroid_lon resolution geometry

The 2 misaligned "0" level 8 hex indices do not exist in the full file, it is unclear where these indices came from.

Run an additional check to see that all the hex's per entry align.

In [147]:
# Check how many entries have misaligned level 8 hex indices, excluding the 2 for the '0' mismatch.
compare_sr_hex['Same Hex yes/no']=compare_sr_hex.apply(lambda x: 'yes' if x['h3_level8_index_x']==x['h3_level8_index_y'] else 'no', axis=1)
compare_sr_hex['Same Hex yes/no'].value_counts()
Out[147]:
yes    941605
no         29
Name: Same Hex yes/no, dtype: int64
In [148]:
# List these unique entries and visually inspect.
compare_sr_hex[(compare_sr_hex['Same Hex yes/no']=='no') & (compare_sr_hex['h3_level8_index_x']!='0')][['notification_number', 'latitude_x', 'longitude_x','latitude_y', 'longitude_y','h3_level8_index_x', 'h3_level8_index_y']]
Out[148]:
notification_number latitude_x longitude_x latitude_y longitude_y h3_level8_index_x h3_level8_index_y
248172 1015706215 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
248443 1015706515 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
260685 1015720316 -34.055004 18.817866 -34.055004 18.817866 88ad36d5b1fffff 88ad36d5b5fffff
271704 1015732806 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
296215 1015760130 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
334038 1015802932 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
347502 1015818134 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
348394 1015819134 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
360592 1015833016 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
362621 1015835341 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
363158 1015835955 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
363465 1015836310 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
366451 1015839765 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
367314 1015840714 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
391924 1015868773 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
393728 1015870909 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
398552 1015876501 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
506268 1016000828 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
506284 1016000846 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
506353 1016000926 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
506392 1016000973 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
510959 1016006213 -33.871389 18.512912 -33.871389 18.512912 88ad360221fffff 88ad360227fffff
738513 1016271817 -33.819384 18.535454 -33.819384 18.535454 88ad360151fffff 88ad360157fffff
829911 1016377419 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
830464 1016378097 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
830797 1016378485 -34.015341 18.610848 -34.015341 18.610848 88ad36135bfffff 88ad361353fffff
In [149]:
# Get a unique list of the mismatched level 8 hex indices from the pre-joined file.
mismatch_hex8=list(compare_sr_hex[(compare_sr_hex['Same Hex yes/no']=='no') & (compare_sr_hex['h3_level8_index_x']!='0')]['h3_level8_index_y'].unique())
mismatch_hex8
Out[149]:
['88ad360227fffff', '88ad36d5b5fffff', '88ad361353fffff', '88ad360157fffff']
In [150]:
# Check that all exists in the supplied hex8 geojson file.
[x for x in mismatch_hex8 if x not in hex8['index'].tolist()]
Out[150]:
[]

All the mismatched level 8 hex indices do exist in the supplied hex8 geojson file.

In [151]:
hex8[hex8['index'].isin(mismatch_hex8)]
Out[151]:
index centroid_lat centroid_lon geometry Hex area (sqkm)
975 88ad360157fffff -33.815443 18.534616 POLYGON ((18.53796 -33.81932, 18.54034 -33.815... 0.700345
1048 88ad360227fffff -33.867380 18.515058 POLYGON ((18.51840 -33.87126, 18.52078 -33.867... 0.699523
1457 88ad361353fffff -34.011408 18.610119 POLYGON ((18.61347 -34.01528, 18.61585 -34.011... 0.698107
3036 88ad36d5b5fffff -34.053525 18.822451 POLYGON ((18.82581 -34.05739, 18.82819 -34.053... 0.698744
In [152]:
# Check with basic intersections if the supplied pre-joined assigments work.
[
hex8['geometry'][975].contains(Point(18.610848, -34.015341)), #88ad360157fffff
hex8['geometry'][1048].contains(Point(18.512912, -33.871389)), #88ad360227fffff
hex8['geometry'][1457].contains(Point(18.610848, -34.015341)), #88ad361353fffff
hex8['geometry'][3036].contains(Point(18.817866, -34.055004)), #88ad36d5b5fffff    
]    
Out[152]:
[False, False, True, False]

For 3/4 the intersection do no work which indicates the pre-compiled 'sr_hex.csv.gz' (source code for joins) needs further investigation to assess why these joins occurred. However, level 8 hex index 88ad36d5b5fffff did intersect with its corresponding points, this could be due to overlapping hex's, with the point lying in the overlap.

In [153]:
# View all 3 geometries.
GeometryCollection(hex8[hex8['index'].isin(['88ad36135bfffff','88ad361353fffff'])]['geometry'].tolist()+[(Point(18.610848, -34.015341))])
Out[153]:

From the image it seems that the Point(18.610848, -34.015341) lies in both hex's, check for hex overlap.

In [154]:
# View common area of two hexes.
hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item())
Out[154]:
In [155]:
# Check type of common area.
type(hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item()))
Out[155]:
shapely.geometry.linestring.LineString
In [156]:
# Calculate shortest distance between common linestring and Point.
closest_distance(hex8[hex8['index']=='88ad36135bfffff']['geometry'].item().intersection(hex8[hex8['index']=='88ad361353fffff']['geometry'].item()), Point(18.610848, -34.015341))
Out[156]:
0.0

It appears that the points falls onto this linestring and thus occurs in both. To prevent this from happening again, attempt to regenerate the H3 hex grids and check for this overlap. Additionally what can be done is that geopandas overlay an be used per hex against surrounding hex's to remove the overlap (specifically, geopandas.overlay(... how='difference'))

In [ ]:
 

SECTION 2: Predictive Analytic Tasks

Using the sr_hex.csv dataset perform the following:

Section 2.1:

  • Introspection challenge :
    • Reshape the data into number of requests created, per type, per H3 level 8 hex in the last 12 months.
    • Choose a type, and then develop a model that predicts the number of requests of that type per hex.
    • Use the model developed in (2) to predict the number in (1). It is assumed that (1) is the "Time series challenge": Predict the weekly number of expected service requests per hex that will be created each week, for the next 4 weeks.
    • Based upon the model, and any other analysis, determine the drivers of requests of that particular type(s).

SECTION 2.1: Introspection challenge

In [157]:
# Read in provided file.
sr_hex=pd.read_csv('20220703_231236_service_requests_8hex.csv')
sr_hex.head(10)
Out[157]:
Unnamed: 0 notification_number reference_number creation_timestamp completion_timestamp directorate department branch section code_group code cause_code_group cause_code official_suburb latitude longitude h3_level8_index
0 0 400583534 9.109492e+09 2020-10-07 06:55:18+02:00 2020-10-08 15:36:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Blaauwberg TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Wear and tear MONTAGUE GARDENS -33.872839 18.522488 88ad360225fffff
1 1 400555043 9.108995e+09 2020-07-09 16:08:13+02:00 2020-07-14 14:27:01+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism SOMERSET WEST -34.078916 18.848940 88ad36d5e1fffff
2 2 400589145 9.109614e+09 2020-10-27 10:21:59+02:00 2020-10-28 17:48:15+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Manhole Cover/Gully Grid Road (RCL) Vandalism STRAND -34.102242 18.821116 88ad36d437fffff
3 3 400538915 9.108601e+09 2020-03-19 06:36:06+02:00 2021-03-29 20:34:19+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Paint Markings Lines&Signs Road Markings Wear and tear RAVENSMEAD -33.920019 18.607209 88ad361133fffff
4 4 400568554 NaN 2020-08-25 09:48:42+02:00 2020-08-31 08:41:13+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area South District : Athlone TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure CLAREMONT -33.987400 18.453760 88ad361709fffff
5 5 400556029 9.109003e+09 2020-07-11 10:34:37+02:00 2020-07-21 12:35:53+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area East District : Somerset West TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Base failure STRAND -34.119520 18.829917 88ad36d43dfffff
6 6 400588369 NaN 2020-10-23 10:33:48+02:00 2020-10-26 14:16:49+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs NaN NaN GLENHAVEN -33.917996 18.658031 88ad361a19fffff
7 7 400549080 NaN 2020-06-17 15:46:11+02:00 2020-11-24 14:26:09+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Bellville TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs NaN NaN RAVENSMEAD -33.922154 18.596821 88ad3611edfffff
8 8 400599701 9.109845e+09 2020-12-04 08:30:50+02:00 2020-12-14 12:53:52+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area Central District: Cape Town TD Customer complaint groups Block Pipe/Chan/Canal/Drain/Gully/Manh NaN NaN CAPE TOWN CITY CENTRE -33.925721 18.421675 88ad361519fffff
9 9 400569986 NaN 2020-08-28 13:37:53+02:00 2020-08-28 16:17:35+02:00 URBAN MOBILITY Roads Infrastructure Management RIM Area North District : Kraaifontein TD Customer complaint groups Pothole&Defect Road Foot Bic Way/Kerbs Road (RCL) Surfacing failure DURBANVILLE -33.835098 18.652708 88ad3618e5fffff
In [158]:
# Diagnose data sparsity.
msno.bar(sr_hex)
Out[158]:
<AxesSubplot:>

The graph above provides a visual for the level of data sparsity. This should both assist in choosing the relevant column to use for "type" as well as reliable count column during the application of the groupby function.

Although "cause_code" is more descriptive the data provided is sparse. It was thus deciced to instead use "code" as the type.

There are a few columns which are fully populated and canbe used as the groupby count column, "notification number" was chosen.

In [159]:
# Reshape the data into number of requests created, per type, per H3 level 8 hex in the last 12 months.
sr_hex_types=sr_hex.groupby(['code', 'h3_level8_index'])['notification_number'].count().reset_index()
sr_hex_types
Out[159]:
code h3_level8_index notification_number
0 AWS: Enquiry 0 5
1 AWS: Enquiry 88ad3612c3fffff 2
2 AWS: Enquiry 88ad361887fffff 1
3 AWS: Enquiry 88ad361a31fffff 1
4 AWS: Enquiry 88ad368d03fffff 1
... ... ... ...
102707 Wires Down 88ad36d5cbfffff 5
102708 Wires Down 88ad36d5cdfffff 2
102709 Wires Down 88ad36d703fffff 1
102710 Wires Down 88ad36d711fffff 2
102711 Wires Down 88ad36d717fffff 4

102712 rows × 3 columns

To choose the "type" of service request for this analysis a few variables were consdidered i.e. the spatial distribution, total 12 month counts and weekly counts. The most data rich "type" will be chosen from these 3 variables.

In [160]:
# Calculate the total numbers of level 8 Hexs each service request type occurs in.
sr_hex_types['code'].value_counts().reset_index()
Out[160]:
index code
0 Sewer: Blocked/Overflow 1502
1 No Power 1400
2 No Water WMD 1327
3 No Water Supply 1312
4 Broken Leading 1301
... ... ...
487 Vendor Software (Detail in Sort Field) 1
488 Assaults 1
489 Conflicting Stages of Traffic Signals 1
490 Government Accounts 1
491 Drop-Off : Operating Times 1

492 rows × 2 columns

In [161]:
# Calculate the total number of the service requests per type of the time period provided.
sr_hex_types.groupby(['code'])['notification_number'].sum().reset_index().sort_values(by=['notification_number'], ascending=False).reset_index(drop=True)
Out[161]:
code notification_number
0 Sewer: Blocked/Overflow 134429
1 No Power 106601
2 No Water WMD 53923
3 Street Lights - All Lights Out 39359
4 Street Lights - Single Light Out 38206
... ... ...
487 Pre-Paid Vendor Reconciliation 1
488 R003 - Difference in Unit Price 1
489 Waste Service Provider Query 1
490 Drop-Off : Operating Times 1
491 Expected Payment Date Confirmation 1

492 rows × 2 columns

In [162]:
# Calculate the total number of weekly information per service request type for the period provided.
In [163]:
# Confirm before proceeding that all creation dates are in 2020.
sr_hex['year']=sr_hex['creation_timestamp'].apply(lambda x: x[:4])
sr_hex['year'].value_counts()
Out[163]:
2020    941634
Name: year, dtype: int64
In [164]:
# Export week number for each creation date.
sr_hex['week']=sr_hex['creation_timestamp'].apply(lambda x: int(datetime.datetime.fromisoformat(x).strftime("%V")))
sr_hex['week'].value_counts()
Out[164]:
29    24251
45    22864
41    22758
40    22670
42    22466
37    22335
50    22258
49    22219
4     21981
3     21876
10    21844
46    21713
36    21587
43    21507
5     21167
44    20972
34    20673
8     20641
6     20630
7     20618
48    20606
38    20341
9     20321
28    20252
11    20089
12    19578
2     19571
30    19451
47    19442
32    19354
35    19209
31    17866
27    17718
33    17594
39    17371
51    17194
26    16855
24    16297
23    14554
25    14473
13    14278
52    14237
22    13591
21    10518
53    10287
20    10220
19    10092
14     9605
1      9303
15     8979
16     8868
17     8520
18     7970
Name: week, dtype: int64
In [165]:
sr_hex.groupby(['code'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False).head(10).reset_index(drop=True)
Out[165]:
code week
0 Wires Down 53
1 Internal : Billing / Adjustment Queries 53
2 Sewer: Pipe Broken 53
3 Sewer: Manhole Cover: Stolen/Missing 53
4 DO NOT USE: Meter Aqualoc Fault 53
5 Damaged Bin - 240L 53
6 Sewer: Manhole Cover: Damaged 53
7 Sewer: Foul Smell 53
8 Sewer: Blocked/Overflow 53
9 Street People 53

From the above analysis I'd recommened using "Sewer: Blocked/Overflow" as it has the most counts, over the most hexes over the full year. An additional step could be used to look at the number of weeks per hex per type (a more in depth chose based on spatial and time series per type), however it was ultimately decided that this would be sufficient in choosing the type considering time and benefit.

In [166]:
# Filter for the chosen service request type.
service_rtype='Sewer: Blocked/Overflow'


sr_hex_sewers=sr_hex[sr_hex['code']==service_rtype].reset_index(drop=True)
sr_hex_sewers
Out[166]:
Unnamed: 0 notification_number reference_number creation_timestamp completion_timestamp directorate department branch section code_group code cause_code_group cause_code official_suburb latitude longitude h3_level8_index year week
0 481 1016495961 9.109952e+09 2020-12-26 20:17:23+02:00 2020-12-27 14:48:03+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN BONTEHEUWEL -33.949790 18.547810 88ad361033fffff 2020 52
1 603 1015764939 9.108671e+09 2020-04-11 09:54:09+02:00 2020-06-26 12:50:51+02:00 HUMAN SETTLEMENTS Home Ownership Transfer, Tenancy Management an... Upgrades and Maintenance Area South SEWER Sewer: Blocked/Overflow NaN NaN LAVENDER HILL -34.069183 18.483887 88ad368c21fffff 2020 15
2 614 1015936877 9.108978e+09 2020-07-07 05:48:39+02:00 2020-07-07 08:26:05+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN GUGULETU -33.975780 18.572910 88ad361001fffff 2020 28
3 631 1016411914 9.109811e+09 2020-11-29 14:23:49+02:00 2020-11-29 16:34:11+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN TAFELSIG -34.054190 18.641240 88ad368981fffff 2020 48
4 1209 1015972707 NaN 2020-07-16 14:26:40+02:00 2020-07-19 17:17:18+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN NYANGA -33.984780 18.576290 88ad361047fffff 2020 29
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
134424 941621 1016508414 9.109974e+09 2020-12-31 22:27:13+02:00 2021-01-11 11:37:05+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN GRACELAND -34.041223 18.674784 88ad36c6d3fffff 2020 53
134425 941624 1016508417 9.109974e+09 2020-12-31 22:55:25+02:00 2021-01-06 08:05:40+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN AVON -33.920677 18.566713 88ad361181fffff 2020 53
134426 941626 1016508422 9.109975e+09 2020-12-31 23:10:01+02:00 2021-01-02 08:32:18+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow General Rags LANGA -33.947924 18.532356 88ad3610e1fffff 2020 53
134427 941628 1016508424 9.109975e+09 2020-12-31 23:24:26+02:00 2021-01-01 08:56:05+02:00 WATER AND SANITATION Distribution Services Reticulation Reticulation WW Conveyance SEWER Sewer: Blocked/Overflow NaN NaN NaN NaN NaN 0 2020 53
134428 941630 1016508432 9.109975e+09 2020-12-31 23:31:11+02:00 2021-01-04 11:46:28+02:00 WATER AND SANITATION Distribution Services Reticulation NaN SEWER Sewer: Blocked/Overflow General Foreign Objects FISANTEKRAAL -33.783246 18.716554 88ad3656d7fffff 2020 53

134429 rows × 19 columns

To continue with the predictive model, seasonality must be considered, for example, certain requests might be more prevalent in certain times of the year for a particular request type and area, thus a simple univariate linear regression model might not suffice. Ultimately the following will be attempted.

Approach each hex as a single univariate regression excercise. This will still retain the spatial component as the regression model will be developed per hex. The downside of this is that spatial neighbouring effects will not be clearly representated as that of, for example, a "space-time" regression model.

For this reason, I have decided to use the univariate regression model, SARIMA (Seasonal Autoregressive Integrated Moving-Average) to cater for both trend and seasonality. The downside of this is that typically SARIMA models require visual investagation of both the Autocorrelation and Partial auto-correlation to inform the p,d,q,P,D and Q values. For ease of use an auto ARIMA module was used that tunes these hyperparameters and chooses the best fit.

An ADF test will be used to assess for the time series data bein stationary or not and based on this, either the auto ARIMA (for non-stationary) or Ridge regressor (for stationary) will be applied.

The kfold stratification used in the Ridge Regressor will be adjusted if it is found that samples sizes are too low. Additionally, the ridge regressor will be assessed with alpha values ranging from 0 to 1 in 0.1 increments, to optimise fitting.

For the auto ARIMA model, zeros have been added where there was no data to produce a full annual weekly profile.

In [167]:
# Check if all level 8 hex's for the service request type have 53 values, if not add zeros.
sr_hex_sewers.groupby(['h3_level8_index'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False)
Out[167]:
h3_level8_index week
0 0 53
1440 88ad36d55bfffff 53
393 88ad361231fffff 53
190 88ad361003fffff 53
1400 88ad36d423fffff 53
... ... ...
318 88ad361159fffff 1
306 88ad361135fffff 1
1217 88ad368ee1fffff 1
1219 88ad368eebfffff 1
1501 88ad36d73dfffff 1

1502 rows × 2 columns

In [168]:
# Specify function annotations.
adf_test_rdme={
    'type':str,
    'units':'binary - Stationary or Non-Stationary',
    'docstring':'Function takes in a df subset (service request and hex), reshapes, and runs the Augmented Dickey–Fuller test (ADF test) test to calculate the p-value and defines where the dataset is a stationary time series or not.'
}

# Define function.
def adf_test(sr_hex_subset)->adf_test_rdme:
    
    sorted_notifcations=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)['notification_number']
    
    result=adfuller(sorted_notifcations)
    pvalue=result[1]
    if pvalue<=0.05:
        return 'Stationary'
    else:
         return 'Non-stationary'
In [169]:
# Check which level 8 hex's for the chosen service request has stationary, non-stationary or too few points for the ADF test.

adf_results=[]

for hex in sr_hex_sewers['h3_level8_index'].unique():
    try:
        adf_results.append([hex,  adf_test(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==hex])])
    except ValueError:
        adf_results.append([hex,  'Too little points/Division by Zero'])
C:\Users\ryanp\anaconda3\lib\site-packages\statsmodels\regression\linear_model.py:924: RuntimeWarning:

divide by zero encountered in log

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In [170]:
# Store ADF results in a dataframe.

adf_results_pd=pd.DataFrame(adf_results, columns=['h3_level8_index', 'ADF result'])
adf_results_pd
Out[170]:
h3_level8_index ADF result
0 88ad361033fffff Stationary
1 88ad368c21fffff Stationary
2 88ad361001fffff Stationary
3 88ad368981fffff Stationary
4 88ad361047fffff Stationary
... ... ...
1497 88ad361469fffff Too little points/Division by Zero
1498 88ad360f51fffff Too little points/Division by Zero
1499 88ad368727fffff Too little points/Division by Zero
1500 88ad361627fffff Too little points/Division by Zero
1501 88ad36d71bfffff Too little points/Division by Zero

1502 rows × 2 columns

In [171]:
# Summarise adf results.
adf_results_pd['ADF result'].value_counts()
Out[171]:
Stationary                            833
Non-stationary                        408
Too little points/Division by Zero    261
Name: ADF result, dtype: int64

The bulk of the profiles are stationary, thus a Ridge Regressor will be applied here. As the count of profiles with "Too little points/Division by Zero" is quite high, the Ridge Regressor will be attempted on these, however id the sample size it too low then the hex profile will be abandoned and the log file updated.

In [172]:
# Sumamrise the all level 8 hex's with ADF results=='Too little points/Division by Zero' service request counts.
sr_hex_sewers[sr_hex_sewers['h3_level8_index'].isin(adf_results_pd[adf_results_pd['ADF result']=='Too little points/Division by Zero']['h3_level8_index'].unique())].groupby(['h3_level8_index'])['week'].nunique().reset_index().sort_values(by=['week'], ascending=False)
Out[172]:
h3_level8_index week
82 88ad361561fffff 3
245 88ad36d531fffff 3
34 88ad360a85fffff 3
168 88ad3685e7fffff 3
240 88ad36d093fffff 3
... ... ...
113 88ad361999fffff 1
114 88ad3619e5fffff 1
116 88ad361a05fffff 1
120 88ad361a61fffff 1
260 88ad36d73dfffff 1

261 rows × 2 columns

In [173]:
# Check the service request count distribution of all level 8 hex's with ADF results=='Too little points/Division by Zero'.
sr_hex_sewers[sr_hex_sewers['h3_level8_index'].isin(adf_results_pd[adf_results_pd['ADF result']=='Too little points/Division by Zero']['h3_level8_index'].unique())].groupby(['h3_level8_index'])['week'].nunique().reset_index().describe()
Out[173]:
week
count 261.000000
mean 1.605364
std 0.755372
min 1.000000
25% 1.000000
50% 1.000000
75% 2.000000
max 3.000000

Not that based on the summary statistics above the maximum number number of week is 3. It was thus decided to change the kfold split to 3, to increase the pool of samples upon which the regression would be applied. Any hex with lower than this will not be forecasted, but instead added as an error output in the log.

In [174]:
# Create subsection in logging file.
logging.info(' Hex regression error section:')
logging.info('-'*50)
In [175]:
# Specify function annotations.
ridge_reg_rdme={
    'type':dict,
    'units':"""multiple outputs include:
    model - Regressor Model object,
    alpha - float,
    last_week - int,
    n4weeks_predict - array,
    sorted_weeks_all - dataframe,
    fig - plotly graph object
    """,
    'docstring':"""Function runs a Ridge Regressor on the level 8 hex subset and outputs a dictionary of key objects, namely:
    model - Regressor Model,
    alpha - best alpha value chosen from tuning hyperparameters,
    last_week - last week for the service request hex subset entered,
    n4weeks_predict - array of the predicted next 4 weeks,
    sorted_weeks_all - dataframe that contains the joined dataset of the input X, Y data and the predicted X, Y data ,
    fig - plotly graph showing the "sorted_weeks_all" dataset.
    """
}

# Define function.
def ridge_reg(sr_hex_subset)->ridge_reg_rdme:
    
    # Get details of subset index.
    sr=list(sr_hex_subset['code'].unique())[0]
    hex_=list(sr_hex_subset['h3_level8_index'].unique())[0]
    
    # Setup dataset.
    sorted_weeks_nots=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)
    data = sorted_weeks_nots.values
    X, y = data[:, :-1], data[:, -1]
    
    # Define model evaluation method.
    cv = RepeatedKFold(n_splits=3, n_repeats=3, random_state=1)
    
    # Define model.
    model = RidgeCV(alphas=arange(0, 1, 0.01), cv=cv, scoring='neg_mean_absolute_error')
    
    # Fit model.
    try:
        model.fit(X, y)
        alpha=model.alpha_ #Best fit alpha value chosen.

        # Run prediction on next 4 weeks.
        #----------------#
        # Find last week in the subset of data.
        last_week=sorted_weeks_nots['week'].max() #Find the last reported week in the data subset.

        # Make a prediction from the last week going forward.
        n4weeks=arange(last_week, last_week+4, 1)
        n4weeks_predict=model.predict(n4weeks.reshape(-1, 1))

        # Setup figure to view output of prediction.
        predict=pd.DataFrame(list(zip(n4weeks, n4weeks_predict)), columns=['week', 'notification_number'])
        predict['Data source']='Prediction'
        sorted_weeks_nots['Data source']='Actual'
        sorted_weeks_all=sorted_weeks_nots.append(predict).reset_index(drop=True)

        fig=px.line(sorted_weeks_all, x="week", y="notification_number", color='Data source')
        #----------------#
        
        # Create dictionary for export:
        ridge_dict={
            'model':model,
            'alpha':alpha,
            'last_week_of_data':last_week,
            'predicted_next_4_weeks':n4weeks_predict,
            'Merged_dataframe':sorted_weeks_all,
            'plot':fig,
                    }
        
        return ridge_dict
    except ValueError:
        
        # Export log message.
        logging.error('Level 8 hexgaon {} for service request type {}, had too few weekly samples to proceed with the ridge regression model.'.format(hex_, sr))
        
        # Create dictionary for export:
        ridge_dict={
            'model':0,
            'alpha':0,
            'last_week_of_data':0,
            'predicted_next_4_weeks':0,
            'Merged_dataframe':0,
            'plot':0,
                    }
        
        return ridge_dict
In [176]:
# Specify function annotations.
auto_arima_rdme={
    'type':dict,
    'units':"""multiple outputs include:
    'model' - Auto_arima Model object,
    'last_week_of_data' - int,
    'predicted_next_4_weeks' - array,
    'Merged_dataframe' - dataframe,
    'plot' - plotly graph object
    """,
    'docstring':"""Function runs a Auto ARIMA Regressor on the level 8 hex subset and outputs a dictionary of key objects, namely:
    'model' - Auto_arima Model,
    'last_week_of_data' - last week for the service request hex subset entered,
    'predicted_next_4_weeks' - array of the predicted next 4 weeks,
    'Merged_dataframe' - dataframe that contains the joined dataset of the input X, Y data and the predicted X, Y data ,
    'plot' - plotly graph showing the "sorted_weeks_all" dataset.
    """
}

# Define function.
def auto_arima(sr_hex_subset)->auto_arima_rdme:
    
    # Get details of subset index.
    sr=list(sr_hex_subset['code'].unique())[0]
    hex_=list(sr_hex_subset['h3_level8_index'].unique())[0]
    
    # Setup dataset.
    sorted_weeks_nots=sr_hex_subset.groupby(['week'])['notification_number'].count().reset_index().sort_values(by=['week'], ascending=True)
    weeks=list(sorted_weeks_nots['week'].unique())
    last_week=max(weeks)
    
    # ARIMA assumes not breaks in data, add zero values to missing weeks.
    missing_weeks=pd.DataFrame([(x,0) for x in list(np.arange(0, 53, 1)) if x not in weeks if x<=max(weeks)], columns=['week', 'notification_number'])
    
    # Append missing set to subset.
    sorted_weeks_nots_add=sorted_weeks_nots.append(missing_weeks).sort_values(by=['week'], ascending=True).reset_index(drop=True)
    
    data = sorted_weeks_nots_add.values
    X, y = data[:, :-1], data[:, -1]
    
    # Setup Model.
    model = pm.auto_arima(y, start_p=1, start_q=1,
                      test='adf',       
                      max_p=3, max_q=3, 
                      m=1,              
                      d=None,           
                      seasonal=True,  
                      start_P=0, 
                      D=0, 
                      trace=True,
                      error_action='ignore',  
                      suppress_warnings=True, 
                      stepwise=True)
    
    # Apply prediction.
    predict_weeks = 4
    prediction, conf_int = model.predict(n_periods=predict_weeks, return_conf_int=True)
    index_of_fc = np.arange(len(y), len(y)+predict_weeks)
    
    # Setup figure to view output of prediction.
    predict=pd.DataFrame(list(zip(index_of_fc, prediction)), columns=['week', 'notification_number'])
    predict['Data source']='Prediction'
    sorted_weeks_nots_add['Data source']='Actual'
    sorted_weeks_all=sorted_weeks_nots_add.append(predict).reset_index(drop=True)

    fig=px.line(sorted_weeks_all, x="week", y="notification_number", color='Data source')
    #----------------#

    # Create dictionary for export:
    auto_arima_dict={
        'model':model,
        'last_week_of_data':last_week,
        'predicted_next_4_weeks':list(prediction),
        'Merged_dataframe':sorted_weeks_all,
        'plot':fig,
                }

    return auto_arima_dict

TEST A FEW HEX SAMPLES

For ease of analysis the notifcation number was used for grouping and count per hex per week. The y axis count for "notification number" is actually the total number of requests for the chosen service request type for that hex for that week.

In [177]:
# Ridge Regressiion test for "Stationary"
test_stat=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad36d55bfffff']
In [178]:
ridge_reg(test_stat)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

In [179]:
# Ridge Regressiion test for "Too little points/Division by Zero": SAMPLES greater than KFOLD.
test_low_points_grtr_kfold=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad3685e7fffff']
In [180]:
ridge_reg(test_low_points_grtr_kfold)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

In [181]:
# Ridge Regressiion test for "Too little points/Division by Zero": SAMPLES less than KFOLD.
test_low_points=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad361213fffff']
In [182]:
ridge_reg(test_low_points)['plot']
Out[182]:
0
In [183]:
# SARIMA test of non-stationary dataset.
test_non_stat=sr_hex_sewers[sr_hex_sewers['h3_level8_index']=='88ad3612a1fffff']
In [184]:
auto_arima(test_non_stat)['plot']
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=217.013, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=217.199, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=216.289, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=273.895, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=216.389, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=262.652, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

The downside of adding zeros for the auto ARIMA model is that the overall trend line can be shifted down. Future improvements should instread not apply the model to hex profiles where the sample size is lower than 40 samples. This is due to seasonality not being accurately depicted for lower than these sample counts.

RUN MODEL FOR ALL HEXES

In [185]:
# Run the regression model for all the hex's of the chosen service request type for the full year.
regress_results=[]

start=time.time()
for index, row in adf_results_pd.iterrows():
    if row['ADF result']=='Stationary' or row['ADF result']=='Too little points/Division by Zero':
        regress_results.append([
            row['h3_level8_index'],
            ridge_reg(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==row['h3_level8_index']])['predicted_next_4_weeks'],
            'Ridge'])
    else:
        regress_results.append([
            row['h3_level8_index'],
            auto_arima(sr_hex_sewers[sr_hex_sewers['h3_level8_index']==row['h3_level8_index']])['predicted_next_4_weeks'],
            'Ridge'])
duration=round(time.time()-start, 4)
print('Processing took {} seconds'.format(duration))
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=263.532, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=269.842, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=261.751, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=261.546, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=267.851, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=263.541, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=265.371, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=259.548, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=261.536, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=261.543, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=259.758, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=263.374, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=222.104, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=239.492, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=222.672, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=221.770, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=237.507, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=221.532, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=223.526, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=223.515, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=225.417, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=219.622, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=219.807, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=221.615, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=221.604, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=220.174, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=223.505, Time=0.03 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.221 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=226.958, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=217.337, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=224.962, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=205.296, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=205.568, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=203.353, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=215.342, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=203.690, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=200.034, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=198.651, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=196.652, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=198.651, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.422 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=350.661, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=338.135, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=348.663, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=326.044, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=327.829, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=327.738, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=324.239, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=336.145, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=325.987, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=325.887, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=327.565, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.399 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=127.452, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=126.209, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=125.762, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=125.455, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=146.040, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=127.446, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=127.034, Time=0.04 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=146.640, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.115 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=347.070, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=359.598, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=347.607, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=345.082, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=357.602, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=347.075, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=348.981, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=343.085, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=345.071, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=345.077, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=345.608, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=346.982, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=176.507, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=167.878, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=174.518, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=160.740, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=159.597, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=157.600, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=158.746, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=152.579, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=150.630, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=149.370, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=147.370, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=149.370, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=165.891, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=194.622, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=181.152, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=192.810, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=181.508, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=179.221, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=179.588, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.288 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=120.446, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=117.240, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=111.499, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=118.589, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=110.275, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=108.800, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=115.399, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=110.790, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=110.795, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=109.564, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=116.548, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=112.195, Time=0.04 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.384 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=191.980, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=180.882, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=190.107, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=179.298, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=174.616, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=172.793, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=177.482, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.457 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=256.601, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=253.728, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=255.207, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=255.360, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=306.929, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.048 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=277.775, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=237.772, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=221.396, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=219.312, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=221.257, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.220 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=226.206, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=231.458, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=230.542, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=231.630, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=281.645, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=226.995, Time=0.04 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=227.400, Time=0.04 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=228.020, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=226.064, Time=0.01 sec
 ARIMA(3,0,0)(0,0,0)[0] intercept   : AIC=227.312, Time=0.02 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=229.312, Time=0.03 sec
 ARIMA(2,0,0)(0,0,0)[0]             : AIC=230.974, Time=0.01 sec

Best model:  ARIMA(2,0,0)(0,0,0)[0] intercept
Total fit time: 0.219 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=230.744, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=231.938, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=231.570, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=230.088, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=255.548, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=230.479, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=232.466, Time=0.03 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=243.020, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.087 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=317.501, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=332.314, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=319.907, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=316.025, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=330.320, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=317.306, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=319.239, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=314.025, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=315.501, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=315.306, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=317.918, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=317.239, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=308.864, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=303.099, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=306.924, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=285.835, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=287.827, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=287.778, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.14 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=283.899, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=301.157, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=285.891, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=285.841, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=285.911, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.411 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=212.888, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=233.336, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=223.635, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=211.074, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=231.340, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=212.885, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=215.035, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=209.118, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=210.939, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=210.936, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=221.646, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=213.079, Time=0.01 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.141 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=165.460, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=152.347, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=140.787, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=163.519, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=139.614, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=141.464, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=141.522, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=150.592, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=142.790, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.322 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=416.874, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=410.169, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=415.010, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=406.669, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=402.134, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=401.144, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=405.304, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=402.294, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=401.111, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=399.917, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=398.054, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=399.864, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=408.550, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=401.763, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.441 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=217.013, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=217.199, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=216.289, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=273.895, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=216.389, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=262.652, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.191 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=287.039, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=289.903, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=291.051, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=291.235, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=333.956, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=288.081, Time=0.05 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=287.990, Time=0.06 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=292.007, Time=0.02 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=291.401, Time=0.02 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=287.017, Time=0.03 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=320.065, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=309.285, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0]             : AIC=287.985, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0]             : AIC=287.892, Time=0.02 sec
 ARIMA(0,0,2)(0,0,0)[0]             : AIC=317.047, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0]             : AIC=299.774, Time=0.01 sec
 ARIMA(2,0,2)(0,0,0)[0]             : AIC=290.499, Time=0.03 sec

Best model:  ARIMA(1,0,1)(0,0,0)[0]          
Total fit time: 0.487 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=286.049, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=285.008, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=286.108, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=286.157, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=356.457, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.094 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=150.107, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=147.677, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=148.598, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=148.430, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=164.034, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=223.405, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=218.656, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=210.966, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=221.451, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=211.040, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=208.986, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=209.045, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=216.736, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.312 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=184.327, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=181.164, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=182.977, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=182.995, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=211.484, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.051 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=151.980, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=148.434, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=150.338, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=150.326, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=174.406, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.055 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=104.526, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=106.127, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=105.974, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=120.449, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.087 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=182.926, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=181.626, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=182.702, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=182.256, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=212.532, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.045 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=185.421, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=182.405, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=183.538, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=183.663, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=218.661, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.044 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=259.350, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=264.495, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=257.783, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=259.155, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=328.299, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=259.429, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=261.349, Time=0.03 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=270.675, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.094 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=329.185, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=335.663, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=328.844, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=330.923, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=402.094, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=330.309, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=330.221, Time=0.07 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=340.792, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.170 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=142.326, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=125.112, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=140.348, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=123.892, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=118.671, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=116.702, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=121.892, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.463 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=257.219, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=257.354, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=255.219, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=255.947, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=307.110, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=257.219, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=256.508, Time=0.09 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=292.244, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.162 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=180.754, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=209.828, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=191.030, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=179.104, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=207.833, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=180.818, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=177.104, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=178.756, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=178.819, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=189.032, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.278 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=234.865, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=249.490, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=248.124, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=233.633, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=247.868, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=233.886, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=235.093, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=233.864, Time=0.01 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0] intercept
Total fit time: 0.104 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=360.017, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=358.291, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=350.516, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=358.223, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=349.568, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=348.997, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=356.607, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=349.854, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=347.518, Time=0.01 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=348.861, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.392 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=315.226, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=308.198, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=298.321, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=313.241, Time=0.00 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=300.388, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=296.886, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=298.379, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=298.273, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=306.227, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=299.146, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.219 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=338.035, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=360.878, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=338.306, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=347.323, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=429.703, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=337.629, Time=0.07 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=339.240, Time=0.02 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=339.415, Time=0.08 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=339.555, Time=0.07 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=337.731, Time=0.05 sec
 ARIMA(3,0,0)(0,0,0)[0] intercept   : AIC=341.205, Time=0.03 sec
 ARIMA(3,0,2)(0,0,0)[0] intercept   : AIC=341.564, Time=0.08 sec
 ARIMA(2,0,1)(0,0,0)[0]             : AIC=337.806, Time=0.02 sec

Best model:  ARIMA(2,0,1)(0,0,0)[0] intercept
Total fit time: 0.477 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=291.184, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=277.685, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=289.189, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=271.036, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=267.728, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=264.760, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=262.838, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=261.441, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=260.144, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=258.376, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=260.077, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=275.697, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=261.485, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.527 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=292.835, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=286.454, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=290.903, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=274.695, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=276.208, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=273.384, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=284.596, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=275.011, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=274.389, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=273.917, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=274.767, Time=0.03 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.359 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=294.399, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=309.925, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=298.135, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=292.403, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=307.934, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=294.399, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=294.611, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=290.419, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=292.417, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=292.417, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=296.138, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=292.622, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=294.669, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=294.519, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=287.598, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=292.671, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=284.776, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=286.414, Time=0.03 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=286.760, Time=0.05 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=284.764, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=282.794, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=281.052, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=285.598, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=282.823, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=283.661, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=284.791, Time=0.03 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.345 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=296.855, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=297.407, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=294.857, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.105 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=181.196, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=179.313, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=179.302, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=179.387, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=209.284, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=181.265, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=183.186, Time=0.04 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=204.507, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.115 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=110.765, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=109.858, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=109.131, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=109.876, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=125.666, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=110.031, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=116.223, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.139 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.01 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=173.506, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=151.839, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=131.620, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=128.089, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=122.101, Time=0.04 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=120.116, Time=0.03 sec
 ARIMA(2,2,2)(0,0,0)[0]             : AIC=122.098, Time=0.04 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=120.394, Time=0.03 sec
 ARIMA(3,2,2)(0,0,0)[0]             : AIC=inf, Time=0.11 sec
 ARIMA(2,2,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,2,1)(0,0,0)[0]          
Total fit time: 0.383 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=140.994, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=137.556, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=139.550, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=139.550, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=151.315, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.070 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=361.628, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=351.390, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=359.765, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=347.563, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=340.866, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=339.394, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=345.812, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=339.322, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=338.259, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=336.786, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=334.805, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=336.780, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=349.564, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.511 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=301.022, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=301.442, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=299.749, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=300.774, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0]             : AIC=375.331, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=300.303, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=302.251, Time=0.03 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=316.874, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.108 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=179.217, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=176.507, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=177.614, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=177.378, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=199.563, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.043 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=109.832, Time=0.02 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=147.400, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=126.011, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=110.948, Time=0.02 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=109.901, Time=0.03 sec
 ARIMA(0,2,2)(0,0,0)[0]             : AIC=107.862, Time=0.02 sec
 ARIMA(0,2,3)(0,0,0)[0]             : AIC=109.862, Time=0.03 sec
 ARIMA(1,2,3)(0,0,0)[0]             : AIC=111.472, Time=0.04 sec
 ARIMA(0,2,2)(0,0,0)[0] intercept   : AIC=109.186, Time=0.03 sec

Best model:  ARIMA(0,2,2)(0,0,0)[0]          
Total fit time: 0.244 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=284.062, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=275.129, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=282.069, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=263.605, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=264.529, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=261.613, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=273.141, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=262.533, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.442 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=292.332, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=312.137, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=298.397, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=290.868, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=310.172, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=292.210, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=294.250, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=289.219, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=290.616, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=290.456, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=296.494, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=292.572, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.127 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=229.191, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=226.408, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=227.824, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=227.803, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=272.088, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.061 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=255.714, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=277.517, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=255.392, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=255.259, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=275.533, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=256.567, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=256.922, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=253.351, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=253.736, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=254.590, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=253.418, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=254.955, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.122 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=161.820, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=157.438, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=159.881, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=152.218, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=150.076, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=148.086, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=150.229, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.477 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=236.821, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=226.932, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=234.836, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=214.652, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=215.022, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=212.955, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=225.020, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=213.396, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=211.107, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=209.947, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=207.962, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=209.942, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=408.530, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=421.831, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=416.395, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=406.713, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=419.979, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=408.299, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=409.640, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=405.193, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=407.087, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=406.943, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=414.630, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=408.205, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.176 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=226.890, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=222.910, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=224.904, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=224.904, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=275.631, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.061 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=241.589, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=239.891, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=239.809, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=239.956, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=315.132, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=241.664, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=243.575, Time=0.05 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=258.923, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.121 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=267.606, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=268.140, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=265.606, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=266.148, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=326.063, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=267.606, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=280.702, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.137 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=184.199, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=185.900, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=185.887, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=205.382, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.093 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=121.000, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=117.340, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=119.001, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=119.014, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=133.259, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=220.232, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=218.801, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=220.772, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=220.778, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=282.410, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=195.288, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=213.945, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=201.506, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=193.303, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=211.951, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=195.290, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=196.514, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=191.303, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=193.288, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=193.290, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=199.514, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=194.514, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=325.704, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=320.172, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=314.456, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=323.723, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=314.813, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=315.939, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=312.727, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=312.919, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=313.304, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=318.221, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=314.170, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.197 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=318.257, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=313.157, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=316.278, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=285.795, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=287.785, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=287.739, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=283.819, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=311.178, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=285.810, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=285.769, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=293.055, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.387 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=215.178, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=217.086, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=213.507, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=213.250, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=257.701, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=215.228, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=217.187, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=254.548, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.107 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=145.726, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=141.386, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=143.738, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=139.627, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=138.298, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=136.301, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=137.631, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=131.101, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=129.241, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=131.038, Time=0.07 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=139.391, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=133.097, Time=0.09 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.628 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=233.336, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=215.696, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=231.340, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=199.141, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=201.054, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=199.447, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=197.151, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=213.699, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=199.065, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=197.456, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.421 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=269.962, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=265.121, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=256.590, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=267.964, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=256.784, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=257.758, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=254.760, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=255.233, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=255.225, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=263.126, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=256.029, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.179 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=245.388, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=243.851, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=229.410, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=243.392, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=227.862, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=227.627, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=241.862, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=227.211, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=237.649, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=219.350, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=217.469, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=219.224, Time=0.02 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=241.039, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=264.608, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=251.449, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=239.330, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=262.618, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=240.895, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=242.843, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=237.367, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=239.090, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=238.952, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=249.450, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=240.901, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.157 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=199.875, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=197.064, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=197.883, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=191.600, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=187.553, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=185.592, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=189.619, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.485 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=207.912, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=209.678, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=209.633, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=256.782, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=142.197, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=162.576, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=140.809, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=142.815, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=160.589, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=142.121, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=143.222, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=138.812, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=140.125, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=140.202, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=140.914, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=141.227, Time=0.02 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.158 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=246.210, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=270.226, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=255.100, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=244.338, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=268.302, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=246.227, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=247.894, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=243.174, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=244.973, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=244.992, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=253.297, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=246.756, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=347.371, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=339.852, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=345.383, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=339.484, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=330.686, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=332.135, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=328.787, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=337.511, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=330.304, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=330.892, Time=0.02 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.661, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=35.930, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.804, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=33.808, Time=0.03 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=33.866, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=31.824, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=33.965, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=31.876, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.579 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=155.514, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=156.534, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=158.032, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=157.456, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=174.888, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=155.029, Time=0.03 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=157.747, Time=0.01 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=151.711, Time=0.05 sec
 ARIMA(3,0,0)(0,0,0)[0] intercept   : AIC=149.711, Time=0.03 sec
 ARIMA(3,0,0)(0,0,0)[0]             : AIC=153.205, Time=0.02 sec

Best model:  ARIMA(3,0,0)(0,0,0)[0] intercept
Total fit time: 0.173 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=208.526, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=194.967, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=187.654, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=206.532, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=185.685, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=192.975, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.423 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=129.533, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=128.012, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=127.765, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=127.548, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=142.945, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=129.531, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=136.866, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.149 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=337.572, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=359.956, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=343.698, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=335.818, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=357.976, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=337.592, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=338.412, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=334.258, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=335.898, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=335.911, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=341.745, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=336.783, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.126 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=89.739, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=88.413, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=90.122, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=89.984, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=98.538, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.063 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=223.772, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=180.786, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=157.666, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=152.621, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=154.538, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.238 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=254.743, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=253.418, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=251.342, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=252.754, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=251.442, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=249.352, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=248.918, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=251.428, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=250.769, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=250.712, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=249.467, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=252.068, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=252.456, Time=0.05 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.318 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=322.832, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=313.416, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=307.704, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=320.844, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=309.056, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=305.739, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=306.895, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=307.246, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=311.426, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=307.137, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.198 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=204.047, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=200.331, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=202.242, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=202.229, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=255.235, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=54.390, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=55.764, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=55.602, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=58.154, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.106 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=249.509, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=231.478, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=247.537, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=224.726, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=225.221, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=222.886, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=229.581, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=223.412, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.474 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=244.648, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=281.580, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=252.803, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=279.587, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=246.246, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=246.353, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=244.759, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=245.595, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=248.180, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=242.660, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=246.688, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=250.803, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=244.258, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=244.365, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=242.767, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=243.600, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=246.192, Time=0.03 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.274 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=134.455, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=124.521, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=132.542, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=121.988, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=113.224, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=111.283, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=120.046, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=107.937, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=107.711, Time=0.09 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,3)(0,0,0)[0]             : AIC=inf, Time=0.12 sec
 ARIMA(2,1,3)(0,0,0)[0]             : AIC=inf, Time=0.10 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec

Best model:  ARIMA(3,1,2)(0,0,0)[0]          
Total fit time: 0.891 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=136.671, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=132.786, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=134.775, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=134.776, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=148.248, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.063 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=78.944, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=66.551, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=77.021, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=63.472, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=59.851, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=57.857, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=61.483, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.525 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=140.918, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=137.528, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=139.508, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=139.504, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=151.089, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.055 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=208.468, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=198.174, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=206.475, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=188.487, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=176.941, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=178.565, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=178.276, Time=0.03 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=175.035, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=186.514, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=176.688, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=176.517, Time=0.02 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.261 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=264.752, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=269.129, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=265.953, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=268.002, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=347.263, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=263.896, Time=0.02 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=264.205, Time=0.02 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=265.479, Time=0.03 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=262.369, Time=0.03 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=260.469, Time=0.02 sec
 ARIMA(0,0,3)(0,0,0)[0] intercept   : AIC=262.344, Time=0.02 sec
 ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=264.308, Time=0.07 sec
 ARIMA(0,0,2)(0,0,0)[0]             : AIC=293.349, Time=0.02 sec

Best model:  ARIMA(0,0,2)(0,0,0)[0] intercept
Total fit time: 0.401 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=253.755, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=191.115, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=185.316, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=180.374, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=182.063, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.240 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=78.862, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=76.180, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=77.573, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=77.763, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=81.852, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.059 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=100.674, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=96.976, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=98.722, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=98.698, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=111.062, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=285.049, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=306.635, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=293.849, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=283.302, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=304.644, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=284.983, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=286.573, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=281.777, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=283.392, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=283.265, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=291.910, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=285.230, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.155 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=172.458, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=169.767, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=170.549, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=170.458, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=193.173, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.043 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=187.101, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=181.322, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=185.111, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=174.084, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=168.075, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=166.075, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=172.087, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=164.004, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=162.013, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=161.445, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=159.718, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=161.308, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=179.327, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=162.662, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.454 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=155.412, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=157.373, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=157.273, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=153.426, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.110 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=212.581, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=209.257, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=211.257, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=211.257, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=240.117, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.067 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=102.459, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=101.620, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=99.281, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=104.853, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=98.785, Time=0.01 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,0,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=101.983, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0]          
Total fit time: 0.288 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=174.836, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=157.376, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=172.888, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=155.178, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=148.292, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=146.459, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=153.286, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=144.248, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=143.333, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=141.333, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=140.044, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=141.317, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=155.451, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.480 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=199.603, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=218.267, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=201.311, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=197.781, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=216.318, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=199.720, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=201.483, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=196.288, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=197.994, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=198.166, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=199.487, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=199.903, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.146 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=100.413, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=96.571, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=98.489, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=98.496, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0]             : AIC=111.486, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=189.686, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=185.893, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=187.708, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=187.719, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=212.722, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.057 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=225.052, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=208.505, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=223.057, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=208.652, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=206.507, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=206.656, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=192.780, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=190.863, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=192.789, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=194.224, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.248 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=282.212, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=307.790, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=284.696, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=280.763, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=305.874, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=282.577, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=281.086, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0]             : AIC=279.808, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=280.740, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=281.194, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=282.920, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=279.720, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=281.369, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=281.391, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=281.442, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=280.934, Time=0.02 sec
 ARIMA(2,1,3)(0,0,0)[0]             : AIC=280.321, Time=0.04 sec

Best model:  ARIMA(1,1,2)(0,0,0)[0]          
Total fit time: 0.255 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=197.353, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=217.054, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=209.510, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=196.128, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=215.106, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=197.352, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=199.340, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=195.741, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=197.141, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=197.114, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=207.614, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=199.113, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.201 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=175.981, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=175.291, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=177.105, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=176.984, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=204.310, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.048 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=280.597, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=302.181, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=292.866, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=278.828, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=300.223, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=280.572, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=279.837, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=277.386, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=279.213, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=279.191, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=290.953, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=278.429, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.144 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=242.348, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=266.053, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=254.285, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=240.348, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=264.158, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=242.348, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=244.069, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=239.770, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=241.766, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=241.765, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=252.508, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=243.506, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.227 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=238.005, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=251.170, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=245.421, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=236.111, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=249.173, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=237.849, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=238.571, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=234.114, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=236.012, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=235.862, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=243.428, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=236.578, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.146 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=212.027, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=239.456, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=216.912, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=211.990, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=237.484, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=212.268, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=213.793, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=210.399, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=210.570, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=210.805, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=215.200, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=212.324, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.149 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=180.699, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=179.754, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=178.999, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=179.372, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=246.014, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=180.624, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=182.599, Time=0.04 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=197.305, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.125 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=221.872, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=211.873, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=219.877, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=205.024, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=202.251, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.14 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=200.428, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=203.178, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.489 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=155.954, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=152.986, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=154.976, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=154.972, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=170.425, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=154.153, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=146.960, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=152.170, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=141.503, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=136.833, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=134.380, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=132.471, Time=0.03 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=136.370, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=131.442, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=130.459, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=128.557, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=130.421, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=144.967, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=132.075, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.569 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=180.179, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=182.070, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=182.018, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=229.969, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.111 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=242.022, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=230.097, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=240.055, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=229.504, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=226.201, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=221.448, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=219.497, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=218.287, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=216.542, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=214.889, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=216.598, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=228.140, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.594 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=174.617, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=194.611, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=183.063, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=172.642, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=192.619, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=174.619, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=176.534, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=170.642, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=172.617, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=172.619, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=181.066, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=174.534, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.171 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=30.725, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=27.870, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=29.106, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=28.893, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=31.178, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=95.888, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=83.240, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=93.928, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=83.278, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=81.301, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=81.415, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=79.838, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=77.909, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=79.866, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=81.633, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.245 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=240.498, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=219.577, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=238.502, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=217.218, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=215.061, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=213.065, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=215.219, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.443 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=123.529, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=144.388, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=132.350, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=121.604, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=142.405, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=123.531, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=119.625, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=121.541, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=121.543, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=130.355, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.235 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=149.309, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=146.313, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=147.783, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=147.826, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=157.011, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.051 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=218.312, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=205.841, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=216.318, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=203.103, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=201.182, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=202.140, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=199.185, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=201.107, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=200.146, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=196.175, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=194.920, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=193.330, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=195.020, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=203.849, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.455 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=163.132, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=147.576, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=161.171, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=140.923, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=139.297, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=137.314, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=138.948, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=135.537, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=133.538, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=132.536, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=133.634, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=145.636, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=135.538, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.449 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=128.664, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=126.401, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=127.732, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=127.743, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=142.544, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.071 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=133.506, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=129.981, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=131.574, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=131.525, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=155.245, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=131.367, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=128.300, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=129.467, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=121.335, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=110.068, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=109.793, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=109.247, Time=0.04 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.13 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=107.247, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=119.376, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=107.815, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=126.379, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=108.137, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.10 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.962 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=202.228, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=198.474, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=200.244, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=200.264, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=225.679, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.044 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=293.898, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=282.375, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=291.899, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=265.486, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=264.838, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=263.330, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=263.832, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=261.458, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=259.461, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=260.250, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=280.376, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=262.423, Time=0.02 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.11 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.583 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=273.981, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=267.416, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=253.430, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=271.988, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=252.110, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=253.920, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=253.847, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=265.445, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=255.802, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.256 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=272.277, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=254.363, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=270.285, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=245.601, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=247.477, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=247.432, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=243.631, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=252.383, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=245.508, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=245.464, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.405 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=253.691, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=274.590, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=263.639, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=252.297, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=272.597, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=252.760, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=250.490, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=251.895, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=250.980, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=261.684, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.194 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=126.456, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=122.856, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=124.612, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=124.544, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=136.830, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.052 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=191.312, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=210.332, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=204.323, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=189.708, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=208.338, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=191.170, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=193.100, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=187.709, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=189.326, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=189.187, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=202.326, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=191.112, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.189 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=208.000, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=191.809, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=206.026, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=189.961, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=180.044, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=182.034, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=178.075, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=188.050, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=180.066, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.345 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=110.192, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=112.045, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=111.966, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=123.505, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.104 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=194.968, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=226.852, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=216.936, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=224.872, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=205.470, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0] intercept
Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=60.579, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=59.010, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=60.125, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=59.642, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=63.839, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=132.715, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=128.990, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=130.823, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=130.805, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=157.209, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.067 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=94.759, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=80.840, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=92.812, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=76.403, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=72.424, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=65.088, Time=0.04 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=73.279, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=64.729, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=62.905, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=61.787, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=62.792, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=78.915, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=64.764, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.595 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=52.569, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=50.077, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=51.834, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=51.631, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0]             : AIC=58.021, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.060 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=186.514, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=172.996, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=184.523, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=172.133, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=172.726, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=170.134, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=171.009, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=170.726, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.472 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=91.125, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=80.999, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=89.184, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=80.552, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=80.896, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=78.698, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=79.163, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=79.034, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=71.968, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=70.075, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=68.872, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=70.164, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=72.018, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=79.338, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=79.832, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=79.367, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=86.075, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.099 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=51.990, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=49.529, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=51.155, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=51.056, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=52.236, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.073 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=205.600, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=227.738, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=212.570, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=204.841, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=225.742, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=205.123, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=207.605, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=202.857, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=203.616, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=203.139, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=210.576, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=205.621, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.139 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=279.628, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=294.660, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=278.347, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=278.094, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=292.671, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=279.846, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=279.432, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=276.148, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=277.678, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=277.895, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=276.405, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=277.481, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.134 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=200.164, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=230.646, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=212.421, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=199.750, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=228.663, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=199.895, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=201.888, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=197.848, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=198.197, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=197.907, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=210.447, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=199.901, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.182 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=89.033, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=96.478, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=91.867, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=87.364, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=104.493, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=88.954, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=91.138, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.156 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=153.477, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=153.538, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=151.490, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.117 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=89.569, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=89.444, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=88.389, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=88.937, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=100.770, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=89.774, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=91.516, Time=0.02 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=102.669, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.093 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=175.873, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=169.553, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=173.885, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=167.437, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=164.687, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=162.693, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=165.446, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=158.439, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=156.506, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=154.589, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=154.066, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=154.537, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=167.568, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=155.196, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.453 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=301.887, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=330.113, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=314.467, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=300.332, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=328.114, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=301.804, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=303.508, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=298.519, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=300.022, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=299.922, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=312.476, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=301.566, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.152 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=151.561, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=149.900, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=150.200, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=150.582, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=165.616, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.055 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=142.532, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=139.954, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=140.906, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=140.621, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=158.165, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.045 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=180.378, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=176.429, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=178.378, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=178.379, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=190.623, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.046 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=283.822, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=309.175, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=282.003, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=307.184, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=283.931, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=280.125, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=282.060, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=281.966, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=279.458, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=281.224, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=280.345, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.212 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=201.284, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=197.334, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=199.284, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=199.285, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=233.765, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.057 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=241.076, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=258.948, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=242.692, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=240.199, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=256.950, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=240.958, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=242.864, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=238.199, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=239.076, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=238.959, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=240.696, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=240.865, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=201.269, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=233.548, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=211.653, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=201.521, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=231.565, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=203.232, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=203.218, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=201.222, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=203.220, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=205.209, Time=0.06 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=199.279, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=199.533, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=201.272, Time=0.03 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=201.276, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=199.314, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=203.264, Time=0.03 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.308 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=222.053, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=222.218, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=220.074, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.123 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=102.471, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=97.043, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=94.289, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=100.519, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=95.567, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=98.263, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=92.759, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=92.965, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=94.000, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=95.318, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=96.733, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.214 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=201.482, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=203.017, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=202.930, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=216.018, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=78.032, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=75.007, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=76.076, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=76.032, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=77.821, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.055 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=132.387, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=127.677, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=130.415, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=123.936, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=118.156, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=120.091, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=116.156, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=121.940, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=118.091, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=235.674, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=248.528, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=237.357, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=233.969, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=246.531, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=235.606, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=236.998, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=231.970, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=233.674, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=233.606, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=235.366, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=235.000, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.153 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=193.365, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=190.569, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=192.438, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=192.413, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=216.855, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.058 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=180.668, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=177.879, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=178.869, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=178.974, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=198.305, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.040 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=210.974, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=195.740, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=208.980, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=196.791, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=193.749, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=194.802, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.368 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=95.012, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=88.747, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=93.213, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=87.791, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=82.145, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=84.145, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=80.516, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=86.133, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=82.516, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.373 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=169.450, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=167.557, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=167.576, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=167.461, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=194.377, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=169.452, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=170.865, Time=0.04 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=193.290, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.103 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=274.582, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=268.248, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=272.613, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=253.203, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=252.845, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=252.818, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=250.973, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=251.375, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=250.265, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.09 sec
 ARIMA(2,1,3)(0,0,0)[0]             : AIC=inf, Time=0.10 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=250.717, Time=0.04 sec
 ARIMA(3,1,3)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(2,1,2)(0,0,0)[0]          
Total fit time: 1.021 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=122.601, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=118.698, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=120.693, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=120.694, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=133.361, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.079 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=219.672, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=225.142, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=219.081, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=220.576, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=264.340, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=220.635, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=220.704, Time=0.07 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=228.832, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.146 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=132.436, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=166.264, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=139.439, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=164.278, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=133.286, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=132.367, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=134.182, Time=0.03 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=130.375, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=130.977, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=131.299, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=132.208, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=130.438, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=129.734, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=113.767, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=103.493, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=102.600, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=101.570, Time=0.02 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=99.576, Time=0.02 sec
 ARIMA(2,2,2)(0,0,0)[0]             : AIC=101.470, Time=0.03 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(3,2,2)(0,0,0)[0]             : AIC=103.135, Time=0.06 sec
 ARIMA(2,2,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,2,1)(0,0,0)[0]          
Total fit time: 0.342 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=199.141, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=193.005, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=197.167, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=194.865, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=191.036, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=192.895, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=184.626, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=186.563, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=186.194, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=186.436, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=185.753, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=185.170, Time=0.03 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.381 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=54.249, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=55.608, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=55.600, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=58.021, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=123.860, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=125.844, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=125.834, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=142.884, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.079 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=234.672, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=224.513, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=211.817, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=232.676, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=215.511, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=209.834, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=211.349, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=222.524, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=213.523, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.309 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=162.660, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=158.699, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=160.717, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=154.640, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=154.228, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=152.235, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=152.671, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.472 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=173.461, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=165.031, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=171.569, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=161.935, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=152.360, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=148.038, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=146.565, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=150.485, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=160.056, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0]          
Total fit time: 0.673 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=246.723, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=264.466, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=258.758, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=244.822, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=262.475, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=246.579, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=242.853, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=244.766, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=244.449, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=256.768, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=244.637, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.169 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=167.672, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=152.851, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=165.685, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=145.784, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=145.002, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=143.012, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=143.802, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=137.414, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=135.539, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=133.752, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=132.414, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=133.673, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=150.893, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=136.277, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.498 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=202.757, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=235.644, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=220.876, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=201.876, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=233.659, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=201.782, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=202.288, Time=0.04 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=201.694, Time=0.04 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=203.678, Time=0.04 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=201.162, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=201.557, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=203.157, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=201.829, Time=0.03 sec

Best model:  ARIMA(0,1,3)(0,0,0)[0]          
Total fit time: 0.283 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=86.857, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=75.300, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=84.924, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=71.442, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=61.933, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=58.775, Time=0.07 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=60.768, Time=0.09 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0] intercept
Total fit time: 0.662 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=81.135, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=110.122, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=85.886, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=108.289, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=82.610, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=81.692, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=79.919, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=81.778, Time=0.04 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=78.334, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=81.387, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=80.152, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=80.225, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=79.450, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.484 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=231.398, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=227.455, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=229.411, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=229.412, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=255.398, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.056 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=111.140, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=107.462, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=109.372, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=109.394, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=130.365, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=156.343, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=154.357, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=155.093, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=155.362, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=169.926, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.043 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=118.882, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.788, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=117.015, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=109.207, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=106.014, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=104.123, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=107.331, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.515 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=148.459, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=141.133, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=146.480, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=139.134, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=138.793, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=136.864, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=137.196, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.445 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=134.353, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=125.758, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=132.517, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=111.845, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=111.706, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=109.802, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=109.954, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=107.555, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=107.280, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=107.690, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=108.495, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=123.973, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=108.953, Time=0.03 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=109.528, Time=0.05 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.509 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=68.746, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=66.616, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=68.321, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=68.376, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0]             : AIC=73.682, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=210.458, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=235.110, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=228.640, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=208.458, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=233.114, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=210.457, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=212.034, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=206.506, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=208.505, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=208.505, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=226.645, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=210.092, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.170 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=233.088, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=231.348, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=233.344, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=233.345, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=253.404, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.064 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=200.037, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=224.401, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=200.811, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=200.704, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=222.527, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=201.646, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=201.022, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=201.173, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=198.308, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=199.107, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=199.020, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=198.581, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=199.952, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=199.285, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=199.390, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=200.352, Time=0.04 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.414 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=219.186, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=193.074, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=217.209, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=190.804, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=190.698, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=188.750, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=188.835, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.430 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=129.416, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=169.890, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=140.057, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=167.904, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=138.791, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0] intercept
Total fit time: 0.488 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=250.244, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=225.089, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=248.270, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=217.952, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=212.514, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=217.606, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=210.550, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=215.993, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.382 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=261.298, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=251.486, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=259.301, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=245.212, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=240.894, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=235.559, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=237.547, Time=0.07 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=235.667, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=233.877, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=232.186, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=231.101, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=229.101, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=231.101, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=249.492, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.521 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=115.762, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=112.309, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=114.189, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=114.164, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=114.388, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=146.701, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=144.800, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=144.881, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=145.175, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=160.589, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.040 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=136.303, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=134.571, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=135.202, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=134.683, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=156.264, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.050 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=112.833, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=109.384, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=111.211, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=111.116, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=118.756, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.064 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=133.416, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=130.869, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=132.528, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=132.277, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=143.194, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=165.209, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=160.234, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=149.529, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=163.225, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=152.802, Time=0.07 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=147.562, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=158.266, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.354 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=114.484, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=142.184, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=115.942, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=140.342, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=114.914, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=116.040, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=116.636, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=113.079, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=114.504, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=114.248, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=112.525, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=115.036, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=114.049, Time=0.04 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=114.133, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=113.592, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=115.019, Time=0.02 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=116.497, Time=0.04 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.546 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=152.139, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=143.570, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=150.156, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=139.820, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=140.481, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=137.830, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=141.591, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=138.489, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.518 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=192.570, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=193.032, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=192.381, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=222.320, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=193.314, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=195.102, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,1)(0,0,0)[0]             : AIC=219.403, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.131 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=107.256, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=140.007, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=108.532, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=138.030, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=107.089, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=106.640, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=108.050, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=109.026, Time=0.06 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=104.818, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=106.663, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=106.203, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=105.232, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=105.459, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=107.175, Time=0.04 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.290 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.736, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=40.084, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.879, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=41.631, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=38.269, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=39.774, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.383 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=225.019, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=264.534, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=235.218, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=228.652, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=262.588, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=226.998, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=226.888, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=224.889, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=226.889, Time=0.05 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=224.870, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=228.601, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=226.868, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=225.030, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.450 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=141.082, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=164.017, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=139.965, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=162.148, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=141.399, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=138.189, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=139.626, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=139.307, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=136.491, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=138.455, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=137.882, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.210 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=211.608, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=201.431, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=193.604, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=209.614, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=191.641, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=199.448, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.368 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=84.611, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=80.870, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=82.860, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=82.860, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=89.953, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=270.175, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=258.677, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=268.192, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=256.810, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=252.305, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=246.414, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=248.334, Time=0.04 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=246.246, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=247.335, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=250.784, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=247.896, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=255.114, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=249.332, Time=0.03 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0]          
Total fit time: 0.459 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=119.237, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=100.441, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=117.380, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=96.865, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=98.589, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.13 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=95.112, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=98.660, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=96.818, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.571 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=137.283, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=139.252, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=139.226, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=148.694, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.121 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=57.452, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=59.076, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=59.055, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=62.344, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=221.100, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=223.409, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=221.066, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=221.350, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=284.823, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=222.606, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=236.288, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.167 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=54.662, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=48.611, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=52.774, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=43.146, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=43.482, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=41.337, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=46.757, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=41.688, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.447 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=133.629, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=135.629, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=135.629, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=144.313, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.079 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=188.143, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=188.455, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=188.853, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=188.665, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=219.513, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=190.069, Time=0.04 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=190.083, Time=0.04 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=190.518, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=190.655, Time=0.01 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=192.028, Time=0.05 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(1,0,1)(0,0,0)[0] intercept
Total fit time: 0.258 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=173.766, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=168.466, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=171.803, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=154.699, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=155.893, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=152.913, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=166.510, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=154.087, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=102.471, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=91.140, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=100.519, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=85.338, Time=0.04 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=80.346, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=78.380, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=83.414, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.529 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=131.846, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=128.031, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=129.871, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=119.187, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=117.368, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=115.390, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=117.225, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.513 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=214.893, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=207.700, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=212.917, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=207.215, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=203.952, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=201.977, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=205.246, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.435 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=118.008, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=107.947, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=116.151, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=103.497, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=95.229, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=92.894, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=94.009, Time=0.06 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=90.898, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=91.013, Time=0.03 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=93.386, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=92.012, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=101.711, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=91.853, Time=0.06 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0]          
Total fit time: 0.613 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=58.706, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=54.937, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=56.470, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=56.344, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=64.019, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=145.556, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=134.536, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=143.640, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=131.429, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=128.349, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=126.410, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=129.552, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.469 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=126.198, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=123.364, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=124.323, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=114.626, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=114.317, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=112.463, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=112.802, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.488 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=111.849, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.623, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=110.004, Time=0.01 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=160.999, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=154.689, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=159.010, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=146.094, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=147.002, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=144.286, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=152.784, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=145.217, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=138.923, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=138.395, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=136.491, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.495 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=83.678, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=106.917, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=84.804, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=104.945, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=84.553, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=84.029, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=82.350, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=82.961, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=83.125, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=82.926, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=84.253, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=83.946, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=82.498, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=84.399, Time=0.08 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.535 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=131.625, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=131.405, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=129.645, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.142 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=167.750, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=153.427, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=165.764, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=150.122, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=149.392, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=147.641, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=148.326, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=144.548, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=142.609, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=140.719, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=138.759, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=140.722, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=151.558, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.484 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=172.903, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=163.575, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=170.951, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=165.039, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=161.637, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=163.102, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=155.029, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=155.149, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.355 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=178.433, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=179.266, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=180.298, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=180.148, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=194.828, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=180.422, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=180.409, Time=0.03 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=182.012, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=182.112, Time=0.01 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=184.454, Time=0.02 sec

Best model:  ARIMA(1,0,1)(0,0,0)[0] intercept
Total fit time: 0.246 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=138.849, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=125.275, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=136.865, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=121.371, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=122.361, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.13 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=119.400, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=123.300, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=120.382, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.512 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=156.660, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=153.089, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=154.866, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=154.843, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=172.260, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=103.610, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=102.404, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=100.696, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=115.777, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=101.994, Time=0.02 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=102.649, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=117.705, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.132 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=40.301, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=41.042, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=40.237, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=45.881, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=40.805, Time=0.02 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=42.752, Time=0.05 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=47.881, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.172 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=79.721, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=76.440, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=78.195, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=78.149, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=78.347, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=50.571, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=52.417, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=52.393, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=58.435, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.098 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=67.354, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=63.136, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=59.838, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=59.969, Time=0.02 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=57.884, Time=0.05 sec
 ARIMA(3,2,2)(0,0,0)[0]             : AIC=inf, Time=0.09 sec
 ARIMA(2,2,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(3,2,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec

Best model:  ARIMA(3,2,1)(0,0,0)[0]          
Total fit time: 0.466 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=72.641, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=72.059, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=72.670, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=72.021, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=77.821, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=72.815, Time=0.02 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=74.553, Time=0.07 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,1)(0,0,0)[0]             : AIC=79.821, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.155 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=70.410, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=64.547, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=68.501, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=62.166, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=57.400, Time=0.05 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=55.452, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=60.285, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.541 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=102.236, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=138.125, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=111.630, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=136.151, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=102.816, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=109.073, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=100.238, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=99.801, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=100.830, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=109.675, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=100.968, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.508 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=137.181, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=134.197, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=135.180, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=135.126, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=142.566, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.076 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=189.222, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=211.904, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=198.631, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=187.323, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=209.928, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=189.216, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=185.827, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=187.709, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=187.699, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=196.732, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.208 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=86.252, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=74.961, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=84.319, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=62.837, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=63.687, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=60.957, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=73.049, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=61.773, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.582 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=100.490, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=99.716, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=96.812, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=98.538, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=94.997, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=89.772, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.528 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=89.234, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=88.499, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=88.975, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=89.418, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=95.172, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=151.261, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=151.744, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=149.570, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.119 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=171.970, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=161.197, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=169.983, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=155.119, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=148.154, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=147.221, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=145.422, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=143.576, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=141.973, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=139.990, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=141.969, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=159.214, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=143.990, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.593 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=155.045, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=186.525, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=163.328, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=184.534, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=155.968, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=155.680, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=153.687, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=155.673, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=157.493, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=151.790, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=153.818, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=153.784, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=153.779, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=153.113, Time=0.01 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=155.600, Time=0.03 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.305 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=199.753, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=196.836, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=189.143, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=197.814, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=187.526, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=186.397, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=194.904, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=188.337, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=188.356, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=186.620, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=194.208, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=190.322, Time=0.03 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.320 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=188.230, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=185.604, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=186.242, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=186.249, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=200.698, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.056 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=124.462, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=125.768, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=125.707, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=140.373, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.109 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=123.981, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=123.859, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=122.390, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=122.643, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=146.480, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=124.103, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=126.390, Time=0.03 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=131.198, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.096 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=116.507, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.335, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=114.661, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=108.506, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=93.809, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=92.095, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=106.706, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=90.546, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=89.132, Time=0.05 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,3)(0,0,0)[0]             : AIC=90.955, Time=0.09 sec
 ARIMA(2,1,3)(0,0,0)[0]             : AIC=inf, Time=0.11 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec

Best model:  ARIMA(3,1,2)(0,0,0)[0]          
Total fit time: 0.908 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=31.019, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=30.556, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=29.219, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.183 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=162.304, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=156.497, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=160.367, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=149.582, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=143.074, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=141.632, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=147.905, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=138.240, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=137.075, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=137.527, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=138.642, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=154.635, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=139.024, Time=0.03 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=140.137, Time=0.04 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.486 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.253, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=40.565, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.396, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=39.241, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=33.708, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=32.849, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=34.442, Time=0.10 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=31.160, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=31.976, Time=0.02 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=37.449, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0]          
Total fit time: 0.829 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=142.326, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=125.807, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=140.348, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=114.512, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=115.575, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=115.071, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=112.655, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=123.885, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=113.733, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=111.081, Time=0.04 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=109.122, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=107.379, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=109.145, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=111.117, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.469 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=97.916, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=133.445, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=102.248, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=131.471, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=98.163, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=99.057, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=102.185, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=96.257, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=100.299, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=96.442, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=97.384, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=100.293, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.598 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=93.376, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=95.042, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=95.005, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=95.408, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.085 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=54.388, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=68.585, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=52.609, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=52.476, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=66.662, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=54.471, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=53.775, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=51.552, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=52.490, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=53.440, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=50.743, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=52.680, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=51.668, Time=0.03 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.204 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=91.303, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=92.670, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=92.664, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=95.172, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.083 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=85.629, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=74.342, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=83.695, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=72.950, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=73.438, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=71.415, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=72.691, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=71.966, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.554 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=30.090, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=23.098, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=18.751, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=28.290, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=17.365, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=21.569, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.438 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=69.418, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=67.627, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=67.495, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.132 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=124.543, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=126.107, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=126.039, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=138.464, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.123 seconds
Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=99.388, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=81.181, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=76.778, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=75.753, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=77.558, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.248 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=201.515, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=197.719, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=199.539, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=199.559, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=215.106, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.047 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=68.219, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=52.766, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=66.310, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=48.159, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=46.907, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=45.086, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=46.322, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.500 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=47.858, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=77.962, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=54.601, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=47.122, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=76.039, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=48.248, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=47.550, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0]             : AIC=46.039, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=46.523, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=46.947, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=52.734, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=46.320, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.236 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=177.684, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=165.791, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=175.731, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=162.754, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=163.542, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=160.872, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=163.853, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=161.682, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=156.813, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=155.689, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=154.492, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=155.886, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.454 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=150.540, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=143.034, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=137.363, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=148.560, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=138.646, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=140.448, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=135.455, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=136.698, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=141.081, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=138.536, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.227 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=76.336, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=54.558, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=74.413, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=55.006, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=52.690, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=53.145, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.394 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=188.386, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=164.665, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=186.395, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=161.680, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=162.663, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=159.885, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=162.793, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=160.947, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=156.029, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=155.657, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=154.035, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=155.771, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=157.111, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.459 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=135.334, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=111.835, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=133.361, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=110.817, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=110.188, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=108.357, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=108.965, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.476 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=143.915, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=140.177, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=142.177, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=142.177, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=160.367, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.054 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=81.450, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=62.481, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=79.516, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=59.947, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=60.452, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=58.072, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=60.592, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=58.584, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.535 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=146.429, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=144.582, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=144.447, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.094 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=107.439, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=109.377, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=109.159, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=105.582, Time=0.01 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.101 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=16.112, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=17.819, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=17.742, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=18.285, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.116 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=114.539, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=105.555, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=112.562, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=96.426, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=98.235, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=94.566, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=103.627, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=96.406, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=96.315, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=92.960, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=91.180, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=92.933, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=95.139, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.478 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=47.960, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=45.549, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=46.013, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=45.969, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=52.236, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.080 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=158.120, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=152.339, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=156.137, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=139.578, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=140.302, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=138.508, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.14 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=136.537, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=137.605, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=150.359, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=138.330, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.886 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.445, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=37.625, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.588, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=25.706, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=26.987, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=26.567, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=23.958, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=35.810, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=25.245, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=24.805, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.09 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.502 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=60.249, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=49.428, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=58.361, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=46.434, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=39.860, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=38.057, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=44.597, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.569 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=82.928, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=73.753, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=80.995, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=75.725, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=71.937, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=73.912, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=67.602, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.415 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=204.974, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=188.418, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=202.980, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=163.904, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=165.142, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=162.726, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=162.776, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=162.337, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=168.117, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=162.552, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=163.583, Time=0.03 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=162.568, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=186.608, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=163.963, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=164.566, Time=0.06 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.688 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=90.085, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=91.824, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=92.422, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=91.440, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=99.702, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=91.909, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=91.828, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=89.846, Time=0.02 sec
 ARIMA(0,0,3)(0,0,0)[0] intercept   : AIC=91.846, Time=0.03 sec
 ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=93.708, Time=0.06 sec
 ARIMA(0,0,2)(0,0,0)[0]             : AIC=96.458, Time=0.01 sec

Best model:  ARIMA(0,0,2)(0,0,0)[0] intercept
Total fit time: 0.236 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=67.273, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=64.983, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=66.326, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=66.029, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=72.117, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.078 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=121.640, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=160.075, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=139.021, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=158.091, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=122.172, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=122.356, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=120.567, Time=0.04 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=122.176, Time=0.04 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=118.676, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=120.449, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=120.263, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=119.719, Time=0.03 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.534 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=115.362, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=117.101, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=116.922, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=128.968, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.086 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=34.743, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=32.901, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=34.154, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=33.792, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=37.276, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.069 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=51.623, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=49.549, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=51.156, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=51.268, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=52.265, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.072 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=140.777, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=120.882, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=138.801, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=113.045, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=114.042, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=111.198, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=118.976, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=112.261, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=107.612, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=105.614, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=104.812, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=105.704, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=108.726, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.474 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=115.067, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=117.788, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=113.572, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=113.162, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=133.971, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=115.053, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=117.053, Time=0.03 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=122.476, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.108 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=90.336, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=80.460, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=88.395, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=80.205, Time=0.03 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=79.193, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=73.492, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0] intercept
Total fit time: 0.565 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=99.740, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=99.120, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=99.172, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=98.203, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=105.067, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=99.245, Time=0.02 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=100.027, Time=0.04 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=101.373, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.112 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=138.432, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=134.567, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=136.439, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=136.442, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=151.089, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.070 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=122.204, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=107.902, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=120.226, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=106.632, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=106.304, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=104.367, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=104.670, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=98.686, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=96.879, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=95.001, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=93.599, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=95.063, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=105.936, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.491 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=121.961, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=118.008, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=119.961, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=119.962, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=127.531, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.077 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=156.975, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=153.016, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=154.977, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=154.976, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=171.489, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.053 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=94.426, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=97.720, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=92.835, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=94.980, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=105.710, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=93.867, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=95.419, Time=0.03 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=95.092, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.091 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=85.368, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=83.621, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=85.397, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=85.347, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=88.280, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.075 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=153.909, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=149.949, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=152.044, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=150.538, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=148.182, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=148.800, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=140.918, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=142.226, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=142.912, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=141.210, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.409 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.653, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=40.243, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.796, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=38.634, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=38.751, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=36.841, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=38.428, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=36.973, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.585 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=35.434, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=32.235, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=33.523, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=33.637, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=36.595, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.073 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=110.120, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=97.902, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=108.163, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=75.364, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=69.869, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=68.233, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=73.460, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=66.049, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=64.124, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=69.214, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=66.086, Time=0.05 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=95.960, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=inf, Time=0.10 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.671 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=164.802, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=149.006, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=143.558, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=162.816, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=147.059, Time=0.04 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=141.600, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=147.026, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=145.106, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.352 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=104.798, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=102.253, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=103.010, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=103.038, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=108.163, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.058 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=144.632, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=165.209, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=160.234, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=142.751, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=163.225, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=140.968, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=142.854, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=inf, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=158.266, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.280 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=184.960, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=179.358, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=183.051, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=173.500, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=173.919, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=171.713, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=177.493, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=172.181, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=169.056, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=167.056, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=167.469, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=167.007, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=168.993, Time=0.03 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.653 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=193.594, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=227.075, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=209.494, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=193.617, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=225.080, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=193.382, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=202.300, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=188.642, Time=0.04 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=186.654, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=185.689, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=200.688, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=187.689, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=192.768, Time=0.02 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.230 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=138.761, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=163.158, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=138.744, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=139.244, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=161.173, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=139.788, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=136.770, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=137.815, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=136.788, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=137.260, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.282 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=82.928, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=68.561, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=80.995, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=60.056, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=59.427, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=57.563, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=58.182, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.515 seconds
Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=195.262, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=171.483, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=157.173, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=148.469, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=150.464, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.226 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.653, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=41.516, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=40.717, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.796, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=42.545, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=44.391, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=39.224, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=41.077, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=39.876, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=42.895, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.273 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=145.691, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=149.791, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=150.326, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=150.680, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=166.082, Time=0.00 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=147.443, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=147.430, Time=0.03 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=151.569, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=150.601, Time=0.01 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=149.425, Time=0.08 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=155.834, Time=0.03 sec

Best model:  ARIMA(1,0,1)(0,0,0)[0] intercept
Total fit time: 0.247 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=137.827, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=126.598, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=135.927, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=125.496, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=125.085, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=123.494, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=123.851, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.489 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=138.125, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=121.750, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=136.151, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=114.282, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=112.817, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=110.941, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=112.371, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.521 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=48.157, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=75.702, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=52.887, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=53.879, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=73.761, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=46.175, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=44.277, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=46.206, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=48.114, Time=0.06 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=44.176, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=51.674, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=45.821, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=45.726, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=48.155, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=47.381, Time=0.05 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.327 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=26.365, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=24.030, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=24.848, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=24.522, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=27.282, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.060 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=187.068, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=178.167, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=185.103, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=169.561, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=168.554, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=166.668, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=167.618, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=164.007, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=162.519, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=161.042, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=159.044, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=161.041, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=176.211, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.490 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=102.669, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=92.978, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=100.709, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=91.337, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=91.594, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=89.635, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=91.188, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=89.944, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.460 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=81.413, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=79.071, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=79.812, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=79.525, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=81.852, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.069 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=129.267, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.202, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=127.297, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=110.228, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=111.489, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=108.276, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=110.246, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=109.551, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.572 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=143.603, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=179.431, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=156.669, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=177.443, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=145.526, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=143.911, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=145.970, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=147.390, Time=0.06 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=141.882, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=141.420, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=142.236, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=154.688, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=143.846, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.395 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=142.387, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=141.997, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=141.128, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=140.444, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=148.122, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=142.351, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=143.731, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.138 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=192.465, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=191.235, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=190.591, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=190.943, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=216.534, Time=0.00 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=192.424, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=194.417, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=200.947, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.077 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=14.744, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=16.464, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=16.395, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=16.910, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.108 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=71.350, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=67.397, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=51.262, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=42.544, Time=0.02 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=44.537, Time=0.03 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.235 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=123.655, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.322, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=121.686, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=109.647, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=111.434, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.13 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=107.723, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=110.363, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=109.534, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=106.602, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=105.591, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=104.222, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=105.770, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=106.774, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=74.298, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=52.782, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=44.683, Time=0.02 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=41.490, Time=0.02 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=34.865, Time=0.07 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(3,2,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,2,2)(0,0,0)[0]             : AIC=34.397, Time=0.08 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=32.399, Time=0.04 sec
 ARIMA(0,2,2)(0,0,0)[0]             : AIC=30.659, Time=0.03 sec
 ARIMA(0,2,3)(0,0,0)[0]             : AIC=32.399, Time=0.06 sec
 ARIMA(1,2,3)(0,0,0)[0]             : AIC=34.397, Time=0.09 sec
 ARIMA(0,2,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,2,2)(0,0,0)[0]          
Total fit time: 0.664 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=47.405, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=78.215, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=61.194, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=76.282, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=47.951, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=47.888, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=45.992, Time=0.04 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=47.857, Time=0.08 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=45.111, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=49.025, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=46.955, Time=0.03 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=46.910, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=46.764, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.569 seconds
Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=94.413, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=76.368, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=71.973, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=73.686, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.08 sec
 ARIMA(2,2,0)(0,0,0)[0] intercept   : AIC=73.918, Time=0.01 sec

Best model:  ARIMA(2,2,0)(0,0,0)[0]          
Total fit time: 0.239 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=103.487, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=105.692, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=106.823, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=106.231, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=120.896, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=104.336, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=105.025, Time=0.03 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=104.129, Time=0.02 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=108.297, Time=0.01 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=104.933, Time=0.08 sec
 ARIMA(1,0,1)(0,0,0)[0]             : AIC=104.546, Time=0.02 sec

Best model:  ARIMA(1,0,1)(0,0,0)[0] intercept
Total fit time: 0.249 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=166.798, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=168.746, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=168.700, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=165.027, Time=0.01 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.086 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=88.455, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=89.245, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=90.416, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=89.651, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=100.709, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=87.132, Time=0.01 sec
 ARIMA(0,0,3)(0,0,0)[0] intercept   : AIC=89.035, Time=0.03 sec
 ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=88.651, Time=0.09 sec
 ARIMA(0,0,2)(0,0,0)[0]             : AIC=96.970, Time=0.01 sec

Best model:  ARIMA(0,0,2)(0,0,0)[0] intercept
Total fit time: 0.355 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=118.098, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=120.374, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=118.805, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=117.459, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=128.879, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=118.438, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=120.054, Time=0.05 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=121.804, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.125 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=139.186, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=114.855, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=137.211, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=100.978, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=101.016, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=96.868, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=95.198, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=97.589, Time=0.05 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=97.362, Time=0.05 sec
 ARIMA(3,1,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.14 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=93.945, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=96.134, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=95.489, Time=0.02 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=95.910, Time=0.03 sec
 ARIMA(2,1,3)(0,0,0)[0]             : AIC=95.662, Time=0.04 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=95.215, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=95.782, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=97.389, Time=0.03 sec
 ARIMA(3,1,3)(0,0,0)[0]             : AIC=96.574, Time=0.11 sec

Best model:  ARIMA(2,1,2)(0,0,0)[0]          
Total fit time: 1.131 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=139.666, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=135.711, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=137.669, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=137.671, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=149.319, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.058 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=158.252, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=152.549, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=156.387, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=151.108, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=151.292, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=149.282, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=150.709, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=149.501, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=143.255, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=141.255, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=140.448, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=141.295, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=143.255, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.444 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=86.434, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=72.722, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=68.183, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=66.703, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=68.286, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.222 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=90.569, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=65.303, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=62.090, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=52.441, Time=0.02 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec
 ARIMA(3,2,0)(0,0,0)[0] intercept   : AIC=54.360, Time=0.02 sec

Best model:  ARIMA(3,2,0)(0,0,0)[0]          
Total fit time: 0.251 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=162.576, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=156.818, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=160.589, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=147.132, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=148.629, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.12 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=145.153, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=154.834, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=146.655, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=144.085, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=142.308, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=141.239, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=142.058, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=143.276, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.451 seconds
Performing stepwise search to minimize aic
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=70.979, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=59.567, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=69.070, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=59.738, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=57.686, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=57.862, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.07 sec

Best model:  ARIMA(1,1,0)(0,0,0)[0]          
Total fit time: 0.415 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=24.667, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=33.753, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=22.675, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=25.733, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=38.153, Time=0.01 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=24.663, Time=0.02 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=26.621, Time=0.02 sec
 ARIMA(1,0,0)(0,0,0)[0]             : AIC=23.108, Time=0.01 sec

Best model:  ARIMA(1,0,0)(0,0,0)[0] intercept
Total fit time: 0.113 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=54.088, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=55.429, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=55.183, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=57.867, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.095 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=99.163, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=83.515, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=97.216, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=77.747, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=73.466, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=71.971, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=76.042, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=67.644, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=66.832, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=65.110, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=64.158, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=64.877, Time=0.04 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=81.591, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=66.288, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.557 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=212.006, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=232.771, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=218.910, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=210.011, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=230.775, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=212.007, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=213.943, Time=0.03 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=208.742, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=210.740, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=210.741, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=216.944, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=212.661, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.154 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=55.716, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=53.477, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=54.760, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=54.521, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=57.280, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.068 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=82.928, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=72.965, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=80.995, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=72.628, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=74.190, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=70.722, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=71.053, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=72.285, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.539 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=105.294, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=85.451, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=103.342, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=78.982, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=79.035, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=77.070, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=83.525, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=77.127, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=inf, Time=0.05 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=inf, Time=0.10 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.578 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=29.082, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=28.414, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=19.424, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=27.282, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=inf, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0] intercept
Total fit time: 0.300 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=124.489, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=120.945, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=122.810, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=122.778, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=130.415, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.056 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=87.197, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=125.951, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=98.696, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=123.983, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=97.339, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=85.515, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=86.286, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=96.754, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=86.872, Time=0.03 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=86.595, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=86.133, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=95.401, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=inf, Time=0.08 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.632 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=71.444, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=73.288, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=73.265, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=72.538, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.110 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=134.803, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=131.394, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=132.820, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=132.874, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=136.378, Time=0.00 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.066 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=68.585, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=61.655, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=66.662, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=52.914, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=54.355, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=51.059, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=59.757, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=52.504, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=50.351, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=48.689, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=46.898, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=48.650, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.520 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=66.238, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=68.035, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=67.993, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=67.356, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.096 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=54.228, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=51.863, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=52.631, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=52.187, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=50.348, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=50.876, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=47.841, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=45.844, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=47.840, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=49.844, Time=0.01 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.266 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=129.399, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=123.958, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0]             : AIC=127.801, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=111.856, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=113.570, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=113.463, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=110.534, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=122.437, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=112.289, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=112.209, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=112.657, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=112.288, Time=0.03 sec

Best model:  ARIMA(2,1,0)(0,0,0)[0]          
Total fit time: 0.380 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=139.612, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=134.062, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=137.909, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=133.085, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=120.308, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=121.856, Time=0.04 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=118.884, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=131.475, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=120.586, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=124.003, Time=0.02 sec

Best model:  ARIMA(3,1,0)(0,0,0)[0]          
Total fit time: 0.350 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=73.322, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=91.693, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=87.240, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=71.406, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=89.741, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=69.507, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=71.421, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=70.884, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=85.297, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.04 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.297 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=33.165, Time=0.03 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=29.904, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=31.568, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=31.404, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=33.312, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.074 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=45.547, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=46.651, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=45.652, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=52.265, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.092 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=18.405, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.794, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=28.208, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=19.556, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.937, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=20.368, Time=0.05 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=20.388, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=18.681, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=20.873, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=20.761, Time=0.07 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=17.536, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=18.987, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=26.443, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=19.437, Time=0.04 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=19.488, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=17.738, Time=0.02 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=19.170, Time=0.02 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=19.661, Time=0.04 sec

Best model:  ARIMA(1,1,1)(0,0,0)[0]          
Total fit time: 0.465 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=131.461, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=145.574, Time=0.00 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=134.904, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=129.767, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=143.872, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=131.343, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=128.849, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=130.524, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=130.393, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=133.514, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.278 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=64.640, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=51.959, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=62.731, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=50.697, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=47.626, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=46.051, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=48.953, Time=0.01 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=44.297, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=43.177, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=41.179, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=40.246, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=41.127, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=50.097, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=42.935, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.500 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=119.237, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=112.043, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=105.843, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=117.380, Time=0.00 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=104.924, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=105.458, Time=0.02 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=105.482, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=110.488, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=107.413, Time=0.03 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.333 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=27.963, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=25.497, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=26.456, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=26.151, Time=0.01 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0]             : AIC=28.765, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.061 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=35.912, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=34.217, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=35.365, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=34.838, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=38.636, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.061 seconds
Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=75.805, Time=0.02 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=72.480, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=74.184, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=74.120, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=74.413, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.068 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=101.534, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=98.810, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=99.568, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=97.455, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=97.823, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=95.547, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=96.881, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=95.930, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=89.368, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=87.788, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=87.135, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=87.546, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=89.503, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.442 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=100.645, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=126.540, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=103.814, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=101.226, Time=0.03 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=124.569, Time=0.00 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=102.569, Time=0.04 sec
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

 ARIMA(1,1,2)(0,0,0)[0] intercept   : AIC=101.356, Time=0.04 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=98.194, Time=0.05 sec
 ARIMA(0,1,3)(0,0,0)[0] intercept   : AIC=99.405, Time=0.05 sec
 ARIMA(1,1,3)(0,0,0)[0] intercept   : AIC=101.403, Time=0.08 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=97.654, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=100.830, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=100.926, Time=0.03 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=98.595, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=100.228, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=100.583, Time=0.05 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.458 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=146.671, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=133.220, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=144.691, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=128.125, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=108.862, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=107.385, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=111.524, Time=0.03 sec
 ARIMA(3,1,2)(0,0,0)[0] intercept   : AIC=108.679, Time=0.05 sec
 ARIMA(2,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=105.486, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=109.980, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=106.914, Time=0.01 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=106.845, Time=0.03 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=126.158, Time=0.01 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=113.237, Time=0.05 sec

Best model:  ARIMA(3,1,1)(0,0,0)[0]          
Total fit time: 0.516 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=44.351, Time=0.02 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=74.413, Time=0.00 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=54.983, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=43.997, Time=0.02 sec
 ARIMA(0,2,2)(0,0,0)[0]             : AIC=44.033, Time=0.03 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=45.588, Time=0.04 sec
 ARIMA(0,2,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,2,1)(0,0,0)[0]          
Total fit time: 0.181 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=87.840, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=85.808, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=85.899, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=81.655, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=83.079, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=79.805, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=83.916, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=81.240, Time=0.01 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=76.073, Time=0.02 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=74.575, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=75.710, Time=0.01 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=75.170, Time=0.03 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=73.745, Time=0.02 sec
 ARIMA(0,1,3)(0,0,0)[0]             : AIC=75.443, Time=0.02 sec
 ARIMA(1,1,3)(0,0,0)[0]             : AIC=76.976, Time=0.05 sec
 ARIMA(0,1,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec

Best model:  ARIMA(0,1,2)(0,0,0)[0]          
Total fit time: 0.620 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=52.419, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=49.489, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=51.024, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=50.787, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=52.214, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.059 seconds
Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=49.859, Time=0.02 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=139.219, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=78.659, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.04 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=48.652, Time=0.03 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=61.888, Time=0.01 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=50.566, Time=0.04 sec
 ARIMA(2,2,2)(0,0,0)[0]             : AIC=50.520, Time=0.05 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=48.531, Time=0.03 sec
 ARIMA(0,2,2)(0,0,0)[0]             : AIC=58.054, Time=0.03 sec
 ARIMA(1,2,3)(0,0,0)[0]             : AIC=50.523, Time=0.05 sec
 ARIMA(0,2,3)(0,0,0)[0]             : AIC=52.382, Time=0.06 sec
 ARIMA(2,2,3)(0,0,0)[0]             : AIC=52.502, Time=0.07 sec
 ARIMA(1,2,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.06 sec

Best model:  ARIMA(1,2,2)(0,0,0)[0]          
Total fit time: 0.495 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,2,1)(0,0,0)[0]             : AIC=27.951, Time=0.03 sec
 ARIMA(0,2,0)(0,0,0)[0]             : AIC=68.278, Time=0.01 sec
 ARIMA(1,2,0)(0,0,0)[0]             : AIC=35.029, Time=0.01 sec
 ARIMA(0,2,1)(0,0,0)[0]             : AIC=inf, Time=0.02 sec
 ARIMA(2,2,1)(0,0,0)[0]             : AIC=29.849, Time=0.04 sec
 ARIMA(1,2,2)(0,0,0)[0]             : AIC=30.412, Time=0.02 sec
 ARIMA(0,2,2)(0,0,0)[0]             : AIC=34.729, Time=0.02 sec
 ARIMA(2,2,0)(0,0,0)[0]             : AIC=27.897, Time=0.01 sec
 ARIMA(3,2,0)(0,0,0)[0]             : AIC=29.850, Time=0.02 sec
 ARIMA(3,2,1)(0,0,0)[0]             : AIC=30.451, Time=0.05 sec
 ARIMA(2,2,0)(0,0,0)[0] intercept   : AIC=29.399, Time=0.02 sec

Best model:  ARIMA(2,2,0)(0,0,0)[0]          
Total fit time: 0.244 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=28.071, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=25.028, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=26.540, Time=0.02 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=26.374, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=28.290, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.076 seconds
Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=47.738, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=38.641, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=45.881, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=36.367, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=38.367, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=38.367, Time=0.03 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=34.573, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=36.826, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=36.573, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=36.573, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=31.066, Time=0.02 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=29.813, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=31.221, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=32.582, Time=0.05 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.503 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=8.889, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=4.889, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=6.889, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=6.889, Time=0.01 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=3.223, Time=0.00 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.049 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.08 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=97.462, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=98.154, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=95.515, Time=0.01 sec

Best model:  ARIMA(0,1,0)(0,0,0)[0]          
Total fit time: 0.137 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=58.861, Time=0.02 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=79.405, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=56.874, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=77.482, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=58.871, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.10 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=55.198, Time=0.01 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=57.193, Time=0.01 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=57.176, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0]             : AIC=51.640, Time=0.01 sec
 ARIMA(0,1,2)(0,0,0)[0]             : AIC=53.637, Time=0.02 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=54.257, Time=0.02 sec

Best model:  ARIMA(0,1,1)(0,0,0)[0]          
Total fit time: 0.305 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=130.086, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=142.097, Time=0.00 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=128.745, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=128.349, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=152.027, Time=0.00 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=130.207, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=129.839, Time=0.04 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=133.560, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.106 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=62.268, Time=0.04 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=59.010, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=60.421, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=60.529, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=63.839, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.074 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.05 sec
 ARIMA(0,1,0)(0,0,0)[0] intercept   : AIC=60.324, Time=0.01 sec
 ARIMA(1,1,0)(0,0,0)[0] intercept   : AIC=40.138, Time=0.01 sec
 ARIMA(0,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.07 sec
 ARIMA(0,1,0)(0,0,0)[0]             : AIC=58.435, Time=0.00 sec
 ARIMA(2,1,0)(0,0,0)[0] intercept   : AIC=39.842, Time=0.02 sec
 ARIMA(3,1,0)(0,0,0)[0] intercept   : AIC=41.110, Time=0.03 sec
 ARIMA(2,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,1,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.11 sec
 ARIMA(2,1,0)(0,0,0)[0]             : AIC=38.025, Time=0.02 sec
 ARIMA(1,1,0)(0,0,0)[0]             : AIC=38.311, Time=0.01 sec
 ARIMA(3,1,0)(0,0,0)[0]             : AIC=39.297, Time=0.02 sec
 ARIMA(2,1,1)(0,0,0)[0]             : AIC=34.302, Time=0.03 sec
 ARIMA(1,1,1)(0,0,0)[0]             : AIC=35.214, Time=0.02 sec
 ARIMA(3,1,1)(0,0,0)[0]             : AIC=36.289, Time=0.04 sec
 ARIMA(2,1,2)(0,0,0)[0]             : AIC=36.293, Time=0.06 sec
 ARIMA(1,1,2)(0,0,0)[0]             : AIC=36.694, Time=0.03 sec
 ARIMA(3,1,2)(0,0,0)[0]             : AIC=37.819, Time=0.07 sec

Best model:  ARIMA(2,1,1)(0,0,0)[0]          
Total fit time: 0.683 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=17.632, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=19.709, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=19.557, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=19.405, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=21.908, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=23.325, Time=0.03 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.04 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=21.108, Time=0.03 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=21.380, Time=0.02 sec
 ARIMA(2,0,2)(0,0,0)[0] intercept   : AIC=17.312, Time=0.07 sec
 ARIMA(3,0,2)(0,0,0)[0] intercept   : AIC=18.640, Time=0.08 sec
 ARIMA(2,0,3)(0,0,0)[0] intercept   : AIC=18.706, Time=0.09 sec
 ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.09 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=25.183, Time=0.04 sec
 ARIMA(3,0,3)(0,0,0)[0] intercept   : AIC=20.636, Time=0.10 sec
 ARIMA(2,0,2)(0,0,0)[0]             : AIC=19.356, Time=0.05 sec

Best model:  ARIMA(2,0,2)(0,0,0)[0] intercept
Total fit time: 0.707 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=46.845, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=43.418, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=45.183, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=45.109, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=45.115, Time=0.01 sec

Best model:  ARIMA(0,0,0)(0,0,0)[0] intercept
Total fit time: 0.070 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=78.213, Time=0.03 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=80.789, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=78.337, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=80.211, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=85.485, Time=0.01 sec
 ARIMA(2,0,1)(0,0,0)[0] intercept   : AIC=76.296, Time=0.03 sec
 ARIMA(2,0,0)(0,0,0)[0] intercept   : AIC=75.818, Time=0.02 sec
 ARIMA(3,0,0)(0,0,0)[0] intercept   : AIC=75.664, Time=0.02 sec
 ARIMA(3,0,1)(0,0,0)[0] intercept   : AIC=77.643, Time=0.04 sec
 ARIMA(3,0,0)(0,0,0)[0]             : AIC=76.443, Time=0.01 sec

Best model:  ARIMA(3,0,0)(0,0,0)[0] intercept
Total fit time: 0.166 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:36: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\4236441363.py:64: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Performing stepwise search to minimize aic
 ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=81.436, Time=0.02 sec
 ARIMA(0,0,0)(0,0,0)[0] intercept   : AIC=82.385, Time=0.01 sec
 ARIMA(1,0,0)(0,0,0)[0] intercept   : AIC=80.153, Time=0.01 sec
 ARIMA(0,0,1)(0,0,0)[0] intercept   : AIC=79.442, Time=0.01 sec
 ARIMA(0,0,0)(0,0,0)[0]             : AIC=86.075, Time=0.01 sec
 ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=81.434, Time=0.01 sec
 ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=83.410, Time=0.04 sec
 ARIMA(0,0,1)(0,0,0)[0]             : AIC=81.213, Time=0.01 sec

Best model:  ARIMA(0,0,1)(0,0,0)[0] intercept
Total fit time: 0.115 seconds
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\3603591465.py:58: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Processing took 573.8881 seconds
In [186]:
# Specify date and name and export the file.
date_time=datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
name=date_time+'_4_week_prediction_per_hex_sewer_blocked.csv'

pd.DataFrame(regress_results, columns=['h3_level8_index', '4 week predictions', 'Model used']).to_csv(name)

MAJOR CONTRIBUTORS

In [187]:
# Plot count of cause codes for the chosen service request type.
fig = px.bar(sr_hex_sewers['cause_code'].value_counts().reset_index().head(20), y='cause_code', x='index', text_auto='.2s',
            title="Top 20 ranked causes of 'Sewer: Blocked/Overflow' service requests")
fig.show()

The top 5 drivers for "Sewer: Blocked/Overflow" type is Foreign Objects, Rags, Fats, Roots and No cause found.

LIMITED TIME - IMPROVEMENT NOTES

- Robust testing of both models, R-squared/MSE for Ridge and ARIMA.<br>
- Indicate turn around times for the top 5 drivers this could provide insights into resource allocation. <br>
- For the top 5 drivers look at spatial and temporal occurances to see if these are amplified in specific areas and/or specific times of the year. <br>
- Create a function that filters for time (1day) and then radial distance (~100m), this could possibly indicate that service requests are linked. This could indicate different complaints for the same breach in service delivery. (100m is arbitrary, for example, all minor sewer lines will likely be within 100m of a bulk line. 1day is arbitrary as, for example, multiple households will complain for a linked blockage, because sewerage removal is critical people will complain timeously). <br>
- A map of these clustered complaints could assist highlighting problem zones.
In [ ]:
 

SECTION 2.2: Classification challenge

Using the sr_hex.csv dataset perform the following:

Section 2.2:

  • Classification challenge :
    • Classify a hex as sparsely or densely populated, solely based on the service request data.
    • Provide an explanation as to how you're using the data to perform this classification.
    • Using your classifier, please highlight any unexpected or unusual classifications, and comment on why that might be the case.

For this classification challenge is was decided to filter requests where the requester was most likely at home. It was assumed that the latitude and longitude coordinates provided for the request was the location where the request was made. It was then also assumed that during lockdown level 4 and 5 that a requester would be at home. This would also be true for any other time in the year where it was Saturday and Sunday and before and after 6am on 5pm during weekdays, respectively. This would then assist to classify a request as "at home" or "at work" after which the full set of requests would be filterd for only "at home" cases. Additionally to this a second filter would be applied whereby duplicates for the the latitude and longitude would be removed. This is done to remove instances of 1 requester reflecting in the dataset more than once. This subset of service requests would then be used to calculate the service request density per hex and a natural break and kmeans model will be applied to this 1 dimensional service request density dataset.

In [188]:
# Reload the unmodified "sr_hex" file.
sr_hex=pd.read_csv('20220703_231236_service_requests_8hex.csv')
In [189]:
# Specify function annotations.
c19lockdown_level_rdme={
    'type':str,
    'units':'Lockdown level',
    'docstring':"""Function takes the date of a service request in 2020 and returns a lockdown level for that request.
    """
}

# Define function.
def c19lockdown_level(date)->c19lockdown_level_rdme:
    if datetime.datetime.fromisoformat('2020-03-26 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-04-30 23:59:59+02:00'):
        return 'Level 5'
    
    if datetime.datetime.fromisoformat('2020-05-01 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-05-31 23:59:59+02:00'):
        return 'Level 4'
    
    if datetime.datetime.fromisoformat('2020-06-01 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-08-17 23:59:59+02:00'):
        return 'Level 3'
    
    if datetime.datetime.fromisoformat('2020-08-18 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-09-20 23:59:59+02:00'):
        return 'Level 2'
    
    if datetime.datetime.fromisoformat('2020-09-21 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-12-28 23:59:59+02:00'):
        return 'Level 1'
    
    if datetime.datetime.fromisoformat('2020-12-29 00:00:00+02:00') <= date <= datetime.datetime.fromisoformat('2020-12-31 23:59:59+02:00'):
        return 'Level 3'
    
    return "No lockdown"
In [190]:
# Specify function annotations.
home_office_hours_rdme={
    'type':str,
    'units':'home or work hours',
    'docstring':"""Function in a day and hour of the service request and outputs whether it was done during home or office hours.
    """
}

# Define function.
def home_office_hours(day, hour)->home_office_hours_rdme:
    if day=='Saturday' or day=='Sunday':
        return 'home hours'
    if 6 <= hour <= 17:
        return 'office hours'
    else:
        return 'home hours'
In [191]:
# Specify function annotations.
c19lockdown_level_rdme={
    'type':str,
    'units':'Lockdown level',
    'docstring':"""Function takes a data in 2020 and returns a lockdown level.
    """
}

# Define function.
def home_office_location(level, home_work):
    if level=='Level 5' or level=='Level 4' or home_work=='home hours':
        return 'At home'
    else:
        return 'At work'
In [192]:
# Specify function annotations.
dbscan_analysis_rdme={
    'type':dict,
    'units':'Varied',
    'docstring':"""Function takes in coordinates, distance, and minimum number of samples as well as...
    ...containment method ('cluster' or '') and containment geometry attributes and supplies...
    ...a with the original point set, a dataframe of the clusters and either a weighted average...
    ...point density or containment geometry point density (eg. service requests/sqkm for a hex).
    Function uses the dbscan algorithm.
    """
}

# Define function.
def dbscan_analysis(coords, dist, samples, containment, contain_geometry_name, contain_geometry_area)->dbscan_analysis_rdme:
    
    # Record total points before clustering.
    total_points=len(coords)
    
    # Run spatial clustering for coordinates.
    coords=np.array(coords)
    kms_per_radian = 6371.0088 #Radius of earth.
    epsilon = dist/ kms_per_radian #Distance between two centroids is the diag with safety factor.
    
    db = DBSCAN(eps=epsilon, min_samples=samples, algorithm='ball_tree', metric='haversine').fit(np.radians(coords))
    
    cluster_labels = db.labels_
    num_clusters = len(set(cluster_labels))
    clusters = pd.Series([coords[cluster_labels == n] for n in range(num_clusters)])
    
    # Create cluster dataframe, sort for number of points per cluster and convert clusters to Points object.
    cluster_pd=pd.DataFrame(clusters, columns=['Clusters'])
    cluster_pd['Number of points in Cluster']=cluster_pd['Clusters'].apply(lambda x: len(x))
    cluster_pd=cluster_pd.sort_values(by=['Number of points in Cluster'], ascending=False).reset_index(drop=True)
    cluster_pd['Clusters']=cluster_pd.apply(lambda x: [Point(y) for y in x['Clusters']] if x['Number of points in Cluster']!=0 else 0, axis=1)

    # Remove empty clusters.
    cluster_pd=cluster_pd[cluster_pd['Clusters']!=0].reset_index(drop=True) #Remove unfilled list, empty cluster.

    # Create a convex hull geometry to contain all points and calculate area of convex geometry.
    cluster_pd['Convex hull geometry']=cluster_pd['Clusters'].apply(lambda x: MultiPoint(x).convex_hull)
    cluster_pd['Convex hull area sqkm']=cluster_pd['Convex hull geometry'].apply(lambda x: area_me(x))

    # Remove all other geometries which are not Polygons (geometry.geom_type - 'Polygon')
    cluster_pd['Convex hull geometry type']=cluster_pd['Convex hull geometry'].apply(lambda x: x.geom_type )
    cluster_pd=cluster_pd[cluster_pd['Convex hull geometry type']=='Polygon'].reset_index(drop=True)
    
    # Remove all excessively small Convex hull areas (< 10 sqm). This should filter out for irregular polygons, not the best method.
    cluster_pd=cluster_pd[cluster_pd['Convex hull area sqkm']>1*10**(-5)].reset_index(drop=True)
    
    # if no clusters are found after the filter is applied, exit with current information.
    if containment=='yes' and len(cluster_pd)==0:
        return {
            'Original coordinates':coords,
            'clusters_pd':'No  clusters found',
            'weighted point density':total_points/contain_geometry_area,
        }
    elif containment!='yes' and len(cluster_pd)==0:
        return {
            'Original coordinates':coords,
            'clusters_pd':'No  clusters found',
            'weighted point density':'No  containment geometry',
        }   

    # Calculate cluster density.
    cluster_pd['Cluster density - Requests per sqkm']=cluster_pd.apply(lambda x: len(x['Clusters'])/x['Convex hull area sqkm'] if x['Convex hull area sqkm']>0 else 0, axis=1)

    # Calculate weighted point density contribution for clustered points.
    cluster_pd['Weighted value']=(cluster_pd['Number of points in Cluster']/total_points)*cluster_pd['Cluster density - Requests per sqkm']
    cluster_weight=cluster_pd['Weighted value'].sum()

    if containment=='yes':
        # Calculate remaining points (free point) count, hex density and weighed density contribution to total.
        remain_points=total_points-cluster_pd['Number of points in Cluster'].sum()
        remain_area=contain_geometry_area-cluster_pd['Convex hull area sqkm'].sum()
        remain_density=remain_points/remain_area
        remain_weight=(remain_points/total_points)*remain_density
        
        # Calculate weighted density for containment polygon.
        containment_density=cluster_weight+remain_weight
        
        # Assign containment polygon name to dataframe.
        cluster_pd['Containment Geometry']=contain_geometry_name
        
        return {
            'Original coordinates':coords,
            'clusters_pd':cluster_pd,
            'weighted point density':containment_density,
        }
    else:
        return {
            'Original coordinates':coords,
            'clusters_pd':cluster_pd,
            'weighted point density':cluster_weight,
        }
In [193]:
# Specify function annotations.
cluster_vs_hexavg_rdme={
    'type':'Dataframe',
    'units':'Dependant on Dataframe columns.',
    'docstring':"""Function exports the results of applying either the dbscan clustering or standard service requests per sqkm per hex.
    """
}

# Define function.
def cluster_vs_hexavg(dataset, mode)->cluster_vs_hexavg_rdme:
    
    # Copy dataframe:
    df=dataset.copy()
    
    # Obtain unique hex indices.
    hex_uni=df['h3_level8_index'].unique()
    
    if mode=='cluster':
        hex_density_weights=[]

        start=time.time()
        for hex_ in hex_uni:
            hex_filt_subset=df[df['h3_level8_index']==hex_].reset_index(drop=True)
            hex_density_weights.append([hex_, dbscan_analysis(hex_filt_subset['Point geometry tuple'].tolist(), 0.02, 5, 'yes', hex_, 0.699553)['weighted point density']])
        duration=round(time.time()-start, 4)
        print('Processing took {}seconds.'.format(duration))

        return pd.DataFrame(hex_density_weights, columns=['h3_level8_index', 'Weighted Service Request per sqkm'])
        
    else:
        hex_density_weights=[]
        
        start=time.time()
        for hex_ in hex_uni:
            hex_filt_subset=df[df['h3_level8_index']==hex_].reset_index(drop=True)
            hex_density_weights.append([hex_, len(hex_filt_subset)/0.699553])
        duration=round(time.time()-start, 4)
        print('Processing took {}seconds.'.format(duration))

        return pd.DataFrame(hex_density_weights, columns=['h3_level8_index', 'Weighted Service Request per sqkm'])
In [194]:
# Specify function annotations.
outlier_bounds_rdme={
    'type':list,
    'units':'Dependant on input list units',
    'docstring':"""Function takes in a list of values (floats/int) and outputs the min and max value, below and above which (respectively) outliers will be found.
    """
}

# Define function.
def outlier_bounds(oned_data)->outlier_bounds_rdme:
    q75,q25 = np.percentile(oned_data,[75,25])
    intr_qr = q75-q25
    max_ = q75+(1.5*intr_qr)
    min_ = q25-(1.5*intr_qr)
    
    return [min_, max_]

# Specify function annotations.
outlier_class_rdme={
    'type':str,
    'units':'yes or no',
    'docstring':"""Function takes a value and the min max value from "outlier_bounds" and defines whether the value is an outlier or not.
    """
}

# Define function.
def outlier_class(value, min_, max_)->outlier_class_rdme:
    if min_<=value<=max_:
        return 'no'
    else:
        return 'yes'
In [195]:
"""
These functions were sourced from https://gist.github.com/drewda/1299198 as the library jenkspy is not compatible with pyton 3.9.
These functions were also cross-reference with that found in the jenkspy github repository, 
"https://github.com/mthh/jenkspy/blob/master/jenkspy/core.py" and the jenks repository 
"https://github.com/perrygeo/jenks/blob/master/jenks.pyx"
"""

# Specify function annotations.
getJenksBreaks_rdme={
    'type':list,
    'units':'Dependant on input list',
    'docstring':"""Function takes a list of data values as well as the number of classes and applies natural breaks to output the intervals.
    """
}

# Define function.
def getJenksBreaks(dataList, numClass)->getJenksBreaks_rdme:
  dataList.sort()
  mat1 = []
  for i in range(0,len(dataList)+1):
    temp = []
    for j in range(0,numClass+1):
      temp.append(0)
    mat1.append(temp)
  mat2 = []
  for i in range(0,len(dataList)+1):
    temp = []
    for j in range(0,numClass+1):
      temp.append(0)
    mat2.append(temp)
  for i in range(1,numClass+1):
    mat1[1][i] = 1
    mat2[1][i] = 0
    for j in range(2,len(dataList)+1):
      mat2[j][i] = float('inf')
  v = 0.0
  for l in range(2,len(dataList)+1):
    s1 = 0.0
    s2 = 0.0
    w = 0.0
    for m in range(1,l+1):
      i3 = l - m + 1
      val = float(dataList[i3-1])
      s2 += val * val
      s1 += val
      w += 1
      v = s2 - (s1 * s1) / w
      i4 = i3 - 1
      if i4 != 0:
        for j in range(2,numClass+1):
          if mat2[l][j] >= (v + mat2[i4][j - 1]):
            mat1[l][j] = i3
            mat2[l][j] = v + mat2[i4][j - 1]
    mat1[l][1] = 1
    mat2[l][1] = v
  k = len(dataList)
  kclass = []
  for i in range(0,numClass+1):
    kclass.append(0)
  kclass[numClass] = float(dataList[len(dataList) - 1])
  countNum = numClass
  while countNum >= 2:#print "rank = " + str(mat1[k][countNum])
    id = int((mat1[k][countNum]) - 2)
    #print "val = " + str(dataList[id])
    kclass[countNum - 1] = dataList[id]
    k = int((mat1[k][countNum] - 1))
    countNum -= 1
  return kclass


# Specify function annotations.
getGVF_rdme={
    'type':float,
    'units':'unitless',
    'docstring':"""Function takes a list of data values as well as the number of classes and outputs the the Goodness of Variance Fit between 0 and 1.
    """
}

# Define function.
def getGVF(dataList, numClass)->getGVF_rdme:
  """
  The Goodness of Variance Fit (GVF) is found by taking the 
  difference between the squared deviations
  from the array mean (SDAM) and the squared deviations from the 
  class means (SDCM), and dividing by the SDAM
  """
  breaks = getJenksBreaks(dataList, numClass)
  dataList.sort()
  listMean = sum(dataList)/len(dataList)
#   print listMean
  SDAM = 0.0
  for i in range(0,len(dataList)):
    sqDev = (dataList[i] - listMean)**2
    SDAM += sqDev
  SDCM = 0.0
  for i in range(0,numClass):
    if breaks[i] == 0:
      classStart = 0
    else:
      classStart = dataList.index(breaks[i])
      classStart += 1
    classEnd = dataList.index(breaks[i+1])
    classList = dataList[classStart:classEnd+1]
    classMean = sum(classList)/len(classList)
#     print classMean
    preSDCM = 0.0
    for j in range(0,len(classList)):
      sqDev2 = (classList[j] - classMean)**2
      preSDCM += sqDev2
    SDCM += preSDCM
  return (SDAM - SDCM)/SDAM
  
# Specify function annotations.
classify_rdme={
    'type':int,
    'units':'unitless',
    'docstring':"""Function takes a value and the breaks outputted from "getJenksBreaks" and assigns the interval to which the value belongs.
    """
}

# Define function.
def classify(value, breaks)->classify_rdme:
  for i in range(1, len(breaks)):
    if value < breaks[i]:
      return i
  return len(breaks) - 1
In [196]:
# Convert to datetime object.
sr_hex['creation datetime']=sr_hex['creation_timestamp'].apply(lambda x: datetime.datetime.fromisoformat(x))

# Extract month from datetime object.
sr_hex['creation month']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%B"))

# Extract week from datetime object.
sr_hex['creation week']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%V"))

# Extract day from datetime object.
sr_hex['creation day']=sr_hex['creation datetime'].apply(lambda x: x.strftime("%A"))

# Extract hour from datetime object.
sr_hex['creation hour']=sr_hex['creation datetime'].apply(lambda x: x.hour)

# Assign lockdown level.
sr_hex['Lockdown Level']=sr_hex['creation datetime'].apply(lambda x: c19lockdown_level(x))

# Assign home/office hours.
sr_hex['Home or office hours']=sr_hex.apply(lambda x: home_office_hours(x['creation day'], x['creation hour']), axis=1)

# Assign whether the call was made at home or at the office.
sr_hex['Home to Office location']=sr_hex.apply(lambda x: home_office_location(x['Lockdown Level'], x['Home or office hours']), axis=1)

# Add a key for "code lat lon month"
sr_hex['code lat lon month key']=sr_hex['code'].astype(str)+'_'+sr_hex['latitude'].astype(str)+'_'+sr_hex['longitude'].astype(str)+'_'+sr_hex['creation month'].astype(str)

# Add a key for "lat lon"
sr_hex['lat lon key']=sr_hex['latitude'].astype(str)+'_'+sr_hex['longitude'].astype(str)
In [197]:
# Check the request count per lockdown level.
sr_hex['Lockdown Level'].value_counts(), sr_hex['Lockdown Level'].value_counts().sum()
Out[197]:
(Level 1        291139
 No lockdown    246837
 Level 3        209982
 Level 2        100253
 Level 4         47463
 Level 5         45960
 Name: Lockdown Level, dtype: int64,
 941634)

Not mant requests occurred for lockdown level 4 and 5, these levels would be ideal for increasing the chance that service requests were logged when the requester was at home.

In [198]:
# Check the request count per office/home hours.
sr_hex['Home or office hours'].value_counts()
Out[198]:
office hours    703031
home hours      238603
Name: Home or office hours, dtype: int64

The bulk of the service requests occurred during office hours.

In [199]:
# Filter all service requests for only designated at home and ignoring non-assigned hex indices.
sr_hex_filt=sr_hex[(sr_hex['Home to Office location']=='At home') & (sr_hex['h3_level8_index']!='0')].reset_index(drop=True)
# sr_hex_filt.drop_duplicates(subset=['code lat lon month key'], inplace=True)
sr_hex_filt.drop_duplicates(subset=['lat lon key'], inplace=True)
sr_hex_filt['Point geometry tuple']=sr_hex_filt.apply(lambda x: (x['longitude'], x['latitude']), axis=1)

It must be note that although the hex density is being referred to as a "Weighted Service Request per sqkm" it is in fact not weighted. The first iteration of the model used the clustering methology (which will be explained shortly), however this proved to be more problematic due to high aspect ratio geometries. The "Weighted Service Request per sqkm" should instead be termed "Service Request per sqkm".

The code to follow was fully constructed to call from this specific column name and should have rather been made more generic and ultimately, less confusing.

In [200]:
# Run calculation for Service requests per sqkm for hex.
hex_density_weights_pd=cluster_vs_hexavg(sr_hex_filt, '')
hex_density_weights_pd
Processing took 10.5851seconds.
Out[200]:
h3_level8_index Weighted Service Request per sqkm
0 88ad36d43dfffff 244.441808
1 88ad361ac7fffff 480.306710
2 88ad361149fffff 314.486536
3 88ad3612adfffff 191.550890
4 88ad361195fffff 408.832497
... ... ...
1771 88ad360aebfffff 1.429484
1772 88ad361987fffff 1.429484
1773 88ad360997fffff 1.429484
1774 88ad361469fffff 1.429484
1775 88ad360a43fffff 1.429484

1776 rows × 2 columns

Originally a clustering excercise was used. This worked by taking all the points within the hex and applying a dbscan clustering model to these points. The purpose of this was to look for clusters of 5 min points with each point being a maximum of 20m from another point in the cluster and to use these clustered points to get a sub-area within the hex of a more localised service request density. With these clustered points, a convex geometry is derived which encompasses each clustered group and thus a sub-hex service request density could be derived. It was then decided to generate a weighted sub-hex service request density by looking at all clusters within a hex, also considering the points that werent clustered within that hex. This logic can be found in the "dbscan_analysis" function.

What was found was that excessively small geometries, led to small subhex areas and ultimately very high serve request densities. This was partially accomodated for by assuming a minimum size of 10sqm for sub_areas within a hex. This did improve the distribution but excessively high service request densities were still obtained.

A possible improved methodology would be to use the agglomerative clustering model to instead set a predefinded radial limit with a minimum number of requests. This would also serve to prevent high aspect ratio geometries when using the dbscan model.

It was decided to instead use the standard service requests per sqkm metric (derived from the service requests counts per hex area) to proceed with the population classification.

In [201]:
# Create geodataframe from hex weights.
hex_dens_gpd=gpd.GeoDataFrame(
    hex_density_weights_pd.merge(hex8[['index', 'geometry']], left_on='h3_level8_index', right_on='index', how='left'),
    geometry='geometry',
    crs='EPSG:4326'
)
In [202]:
# Modify geodataframe to accomodate for layering in plotly map.
hex_dens_gpd_filt=hex_dens_gpd[~(hex_dens_gpd['geometry'].isna())].reset_index(drop=True)
hex_dens_gpd_filt['Layer on/off']='on'
hex_dens_gpd_filt=hex_dens_gpd_filt.append(pd.DataFrame([['No layer', 0, 'No layer', Point(-33.80011792288416,18.61286875931004), 'off']], columns=['h3_level8_index','Weighted Service Request per sqkm','index','geometry', 'Layer on/off'])).reset_index(drop=True)
hex_dens_gpd_filt
C:\Users\ryanp\AppData\Local\Temp\ipykernel_15156\409345266.py:4: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

Out[202]:
h3_level8_index Weighted Service Request per sqkm index geometry Layer on/off
0 88ad36d43dfffff 244.441808 88ad36d43dfffff POLYGON ((18.83357 -34.12038, 18.83596 -34.116... on
1 88ad361ac7fffff 480.306710 88ad361ac7fffff POLYGON ((18.63442 -33.90405, 18.63680 -33.900... on
2 88ad361149fffff 314.486536 88ad361149fffff POLYGON ((18.64306 -33.97503, 18.64545 -33.971... on
3 88ad3612adfffff 191.550890 88ad3612adfffff POLYGON ((18.54180 -33.99329, 18.54419 -33.989... on
4 88ad361195fffff 408.832497 88ad361195fffff POLYGON ((18.54943 -33.91404, 18.55181 -33.910... on
... ... ... ... ... ...
1771 88ad361987fffff 1.429484 88ad361987fffff POLYGON ((18.67349 -33.80012, 18.67588 -33.796... on
1772 88ad360997fffff 1.429484 88ad360997fffff POLYGON ((18.57035 -33.65995, 18.57274 -33.655... on
1773 88ad361469fffff 1.429484 88ad361469fffff POLYGON ((18.41769 -33.96456, 18.42008 -33.960... on
1774 88ad360a43fffff 1.429484 88ad360a43fffff POLYGON ((18.61287 -33.79768, 18.61525 -33.793... on
1775 No layer 0.000000 No layer POINT (-33.80012 18.61287) off

1776 rows × 5 columns

In [203]:
# Generate plotly map.
fig = px.choropleth_mapbox(hex_dens_gpd_filt,
                           geojson=hex_dens_gpd_filt['geometry'],
                           hover_name=hex_dens_gpd_filt['h3_level8_index'],
                           locations=hex_dens_gpd_filt.index,
                           color="Weighted Service Request per sqkm",
                           center={"lat": -33.99743, "lon": 18.53369},
                           mapbox_style="open-street-map",
#                            opacity=0.5,
                           zoom=9,
                           width=1000,
                           height=900,
                           animation_frame='Layer on/off',
                           )

fig.update_layout(
    mapbox_style="white-bg",
    mapbox_layers=[
        {
            "below": 'traces',
            "sourcetype": "raster",
            "sourceattribution": "United States Geological Survey",
            "source": [
                "https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}"
            ]
        }
      ])

fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})

fig.show()

The following was noted from this map:

  • Service requests occurred on non-residential areas like table mountain and cape point. This could mean that coordinates are not taken as the location of the requester.
  • Using the "at home" filter and applying duplicate removal has allowed for the more business/industrial areas to reflect as low population regions.
  • It would have been expected that the affluent areas such as camps bay, rondebosch, etc. would have more service requests due to access to resources to log requests e.g. internet, mobile data etc. However, the converse is observed. The lower income areas (generally higher population), eg. dunoon, witsand, khayelitsha etc. show high volumes of service requests. The model is therefore reasonably indicative of population distribution without adhering to absolute values.

Evaluation of outliers

In [204]:
# Calculate the min max bounds for the dataset to generate outlier classification.
bounds_min, bounds_max=outlier_bounds(hex_density_weights_pd['Weighted Service Request per sqkm'].tolist())
bounds_min, bounds_max
Out[204]:
(-301.4424925631082, 529.0878603908496)
In [205]:
# Review the number of outliers.
hex_dens_gpd['Outlier yes/no']=hex_dens_gpd['Weighted Service Request per sqkm'].apply(lambda x: outlier_class(x, bounds_min, bounds_max))
hex_dens_gpd['Outlier yes/no'].value_counts()
Out[205]:
no     1716
yes      60
Name: Outlier yes/no, dtype: int64

Outliers constitute around 3.5%, which is reasonable. With the clustering methodoloy this value was just over 10%.

---Evaluation of an outlier

Short review of an outlier to highlight the large differences that can arise between the clustering (actual "Weighted Service Request per sqkm") and the total requests/hex area.

In [206]:
# The highest total requests/hex area entry is taken (which is an outlier).
hex_dens_gpd[hex_dens_gpd['Weighted Service Request per sqkm']==hex_dens_gpd['Weighted Service Request per sqkm'].max()]
Out[206]:
h3_level8_index Weighted Service Request per sqkm index geometry Outlier yes/no
401 88ad361009fffff 1498.099501 88ad361009fffff POLYGON ((18.57523 -33.98459, 18.57762 -33.980... yes
In [207]:
# Apply the clustering model to the hex.
outlier_1=dbscan_analysis(
    sr_hex_filt[sr_hex_filt['h3_level8_index']=='88ad361009fffff']['Point geometry tuple'].tolist(),
    0.02,
    5,
    'yes',
    '88ad361009fffff',
    0.699553,
)

outlier_1['clusters_pd']
Out[207]:
Clusters Number of points in Cluster Convex hull geometry Convex hull area sqkm Convex hull geometry type Cluster density - Requests per sqkm Weighted value Containment Geometry
0 [POINT (18.571461800147 -33.982997044688), POI... 273 POLYGON ((18.570675633336 -33.983808696103, 18... 0.050884 Polygon 5365.104006 1397.589116 88ad361009fffff
1 [POINT (18.56984018124404 -33.98164995859197),... 26 POLYGON ((18.570390957633 -33.982097479416, 18... 0.004030 Polygon 6451.748045 160.062452 88ad361009fffff
2 [POINT (18.569209644948 -33.983722133186), POI... 17 POLYGON ((18.56931178 -33.98375842, 18.5692096... 0.001631 Polygon 10420.872559 169.040872 88ad361009fffff
3 [POINT (18.569980149838 -33.98406503121), POIN... 15 POLYGON ((18.569988852934 -33.984294933001, 18... 0.000618 Polygon 24253.833838 347.144568 88ad361009fffff
4 [POINT (18.569417484016 -33.981279684756), POI... 13 POLYGON ((18.569415430889 -33.981686873623, 18... 0.001350 Polygon 9630.872586 119.466931 88ad361009fffff
5 [POINT (18.57141885 -33.98100595), POINT (18.5... 13 POLYGON ((18.571275277126 -33.981204732334, 18... 0.001309 Polygon 9931.832128 123.200208 88ad361009fffff
6 [POINT (18.569618333632 -33.98022167754), POIN... 12 POLYGON ((18.569617102385 -33.980465990911, 18... 0.001036 Polygon 11584.310043 132.644771 88ad361009fffff
7 [POINT (18.57185341 -33.97995229), POINT (18.5... 12 POLYGON ((18.57196569884 -33.979985547424, 18.... 0.001131 Polygon 10610.556421 121.494921 88ad361009fffff
8 [POINT (18.56934034 -33.98088269), POINT (18.5... 11 POLYGON ((18.569320959101 -33.981035029314, 18... 0.000894 Polygon 12309.984255 129.207850 88ad361009fffff
9 [POINT (18.571858961024 -33.981776839112), POI... 11 POLYGON ((18.571857327809 -33.982102590286, 18... 0.000859 Polygon 12805.874992 134.412810 88ad361009fffff
10 [POINT (18.568529441093 -33.982905358068), POI... 10 POLYGON ((18.568430447427 -33.983149328463, 18... 0.000952 Polygon 10505.261457 100.241044 88ad361009fffff
11 [POINT (18.57097766 -33.98453924), POINT (18.5... 9 POLYGON ((18.570916725783 -33.984623333347, 18... 0.000641 Polygon 14032.496564 120.508081 88ad361009fffff
12 [POINT (18.570283567089 -33.983893527343), POI... 8 POLYGON ((18.57028755 -33.98390532, 18.5702835... 0.000103 Polygon 77928.560023 594.874504 88ad361009fffff
13 [POINT (18.569615206568 -33.983430257035), POI... 8 POLYGON ((18.569796204042 -33.983724185347, 18... 0.000557 Polygon 14363.946549 109.648447 88ad361009fffff
14 [POINT (18.57013932 -33.97909243), POINT (18.5... 7 POLYGON ((18.57002300241 -33.979261181676, 18.... 0.000249 Polygon 28061.204352 187.431708 88ad361009fffff
15 [POINT (18.57066965 -33.98159906), POINT (18.5... 7 POLYGON ((18.570685869329 -33.981772751864, 18... 0.000267 Polygon 26229.218185 175.195160 88ad361009fffff
16 [POINT (18.569002917064 -33.982854323708), POI... 6 POLYGON ((18.569002917064 -33.982854323708, 18... 0.000288 Polygon 20838.587878 119.304892 88ad361009fffff
17 [POINT (18.571660177777 -33.982427660994), POI... 6 POLYGON ((18.571659769276 -33.982509098778, 18... 0.000251 Polygon 23914.597401 136.915634 88ad361009fffff
18 [POINT (18.57410007816404 -33.977359984589974)... 6 POLYGON ((18.57425815 -33.97742798, 18.5740943... 0.000052 Polygon 116308.726285 665.889654 88ad361009fffff
19 [POINT (18.572641022286 -33.981779557731), POI... 6 POLYGON ((18.572641022286 -33.981779557731, 18... 0.000271 Polygon 22153.137135 126.830938 88ad361009fffff
20 [POINT (18.571165660141 -33.983566087323), POI... 6 POLYGON ((18.57145853051 -33.983648546854, 18.... 0.000245 Polygon 24447.576637 139.967042 88ad361009fffff
21 [POINT (18.570010177092 -33.980060168941), POI... 5 POLYGON ((18.569911191032 -33.980304140698, 18... 0.000164 Polygon 30559.489057 145.799089 88ad361009fffff
22 [POINT (18.567173612602 -33.980375981193), POI... 5 POLYGON ((18.567173612602 -33.980375981193, 18... 0.000153 Polygon 32671.106604 155.873600 88ad361009fffff
23 [POINT (18.57131532 -33.98009838), POINT (18.5... 5 POLYGON ((18.57151338 -33.98018169, 18.5711828... 0.000117 Polygon 42834.989699 204.365409 88ad361009fffff
24 [POINT (18.56823961 -33.97754163), POINT (18.5... 5 POLYGON ((18.568164761546 -33.977691968643, 18... 0.000100 Polygon 50022.720058 238.658016 88ad361009fffff
25 [POINT (18.568143759624 -33.981845295552), POI... 5 POLYGON ((18.568143759624 -33.981845295552, 18... 0.000095 Polygon 52863.600052 252.211832 88ad361009fffff
26 [POINT (18.57059803 -33.97982102), POINT (18.5... 5 POLYGON ((18.57067581 -33.97984937, 18.5704024... 0.000081 Polygon 61529.032347 293.554544 88ad361009fffff
27 [POINT (18.570097273657 -33.982177892917), POI... 5 POLYGON ((18.569999105489 -33.982258989107, 18... 0.000128 Polygon 39112.743788 186.606602 88ad361009fffff
28 [POINT (18.57205081 -33.9820766), POINT (18.57... 4 POLYGON ((18.571953861185 -33.982347243761, 18... 0.000098 Polygon 40849.417130 155.913806 88ad361009fffff
29 [POINT (18.56872454759 -33.982987481245), POIN... 3 POLYGON ((18.56872372497 -33.983150356735, 18.... 0.000082 Polygon 36671.400917 104.975384 88ad361009fffff
30 [POINT (18.570490354069 -33.981772069569), POI... 3 POLYGON ((18.570588111698 -33.981772410756, 18... 0.000041 Polygon 73342.722999 209.950543 88ad361009fffff
In [208]:
# Compare the standard total requests/hex area vs the actual clustering derived 'Weighted Service Request per sqkm'.
hex_dens_gpd[hex_dens_gpd['Weighted Service Request per sqkm']==hex_dens_gpd['Weighted Service Request per sqkm'].max()]['Weighted Service Request per sqkm'].item(), outlier_1['weighted point density']
Out[208]:
(1498.0995006811493, 7669.533510709044)

There is a large difference in the clustered weighted method and total requests/hex area method. In many cases this is due to very small convex geometries derived (i.e. a dense grouping of service requests). In the table above, index 18 has the highest cluster density, while only having 6 points within the cluster. This is due to the cluster convex geometry being small, in this case 52sqm.

Classification

As the dataset is 1 dimensional (1d) a range finder was chosen, namely natural breaks. Goodness of fit was measured for the natural break model to assess performance. Additionally kmeans was also used to assign two classes. The classification counts for both models were then compared.

Jenks natural breaks implementation

In [209]:
# Calculate intervals using natural breaks.
breaks=getJenksBreaks(hex_dens_gpd['Weighted Service Request per sqkm'].tolist(), 2)
breaks
Out[209]:
[0, 231.57644953277307, 1498.0995006811493]
In [210]:
# Check the classification counts from the natural breaks method.
jenksclass=[classify(x, breaks) for x in hex_dens_gpd['Weighted Service Request per sqkm'].tolist()]
pd.DataFrame(jenksclass)[0].value_counts()
Out[210]:
1    1367
2     409
Name: 0, dtype: int64
In [211]:
# Calculate the goodness of variance fit (gvf).
getGVF(hex_dens_gpd['Weighted Service Request per sqkm'].tolist(), 2)
Out[211]:
0.6707682183378691

The gvf is ~0.68, this is reasonable. In normal circumstances the number of classes can be varied to attempt to improve this figure as well as removal of outliers. In this case however a binary classifcation (sparse vs dense) was required, and the derived breaks were maintained.

KMEANS checks, 1D implementation

In [212]:
# Setup kmeans model.
X = np.array(hex_dens_gpd['Weighted Service Request per sqkm'].tolist()).reshape(-1,1)
kmeans = KMeans(n_clusters=2, random_state=0).fit(X)
In [213]:
# Review kmeans assignments.
pd.DataFrame(kmeans.labels_)[0].value_counts()
Out[213]:
1    1367
0     409
Name: 0, dtype: int64
In [214]:
# Review centroids for kmeans model clusters.
[list(x)[0] for x in kmeans.cluster_centers_]
Out[214]:
[394.52716954494485, 67.95435619333]

No elbow curve was done for kmeans optimisation as a binary classification was required.

Time permitting an additional classification would involve merging the two different model classes i.e. when both natural breaks and kmeans classifications align an "Optimistic" class is assigned while if there is misalignment in the 2 classes a "Pessimistic" class is assigned.
For the purposes of this excercise the final verdict will be taken from the Jenks natural breaks implementation, due to the goodness of fit being ~0.68.

Make assignments of natural breaks classes

In [215]:
# Assign categorical classes, sparsely or densely populated.
hex_dens_gpd['Population density class']=jenksclass
hex_dens_gpd['Population density class']=hex_dens_gpd['Population density class'].apply(lambda x: 'densely populated' if x==2 else 'sparsely populated')
hex_dens_gpd['Population density class'].value_counts()
Out[215]:
sparsely populated    1367
densely populated      409
Name: Population density class, dtype: int64
In [216]:
# Check that all geometries are present.
hex_dens_gpd[hex_dens_gpd['geometry'].isna()]
Out[216]:
h3_level8_index Weighted Service Request per sqkm index geometry Outlier yes/no Population density class
1750 88ad36c629fffff 1.429484 NaN None no sparsely populated
In [217]:
# Remove the entries with no geometries.
hex_dens_gpd=hex_dens_gpd[~(hex_dens_gpd['geometry'].isna())].reset_index(drop=True)
In [218]:
# Split into two gdfs for mapping.
hex_dens_gpd_dense=hex_dens_gpd[hex_dens_gpd['Population density class']=='densely populated'].reset_index(drop=True)
hex_dens_gpd_sparse=hex_dens_gpd[hex_dens_gpd['Population density class']=='sparsely populated'].reset_index(drop=True)

Visualisation

In [219]:
#To create Terrain map
my_map = folium.Map(
    location=[-33.96258671782152, 18.613835787647165],
    zoom_start=10,
    tiles='Stamen Terrain',
    control_scale = True
)

basemaps = {
    'Esri Satellite': folium.TileLayer(
        tiles = 'https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',
        attr = 'Esri',
        name = 'Esri Satellite',
        overlay = True,
        control = True,
        control_scale = True
    ),    
}

basemaps['Esri Satellite'].add_to(my_map)

#Add lat lon coords of mouse.
formatter = "function(num) {return L.Util.formatNum(num, 3) + ' º ';};"
MousePosition(
    position="bottomright",
    separator=" | ",
    empty_string="NaN",
    lng_first=False,
    num_digits=20,
    prefix="Coordinates:",
    lat_formatter=formatter,
    lng_formatter=formatter,
).add_to(my_map)

#GPS marker plugin.
# plugins.LocateControl().add_to(my_map)

#Add measure tool 
plugins.MeasureControl(position='topright', primary_length_unit='meters', secondary_length_unit='miles', primary_area_unit='sqmeters', secondary_area_unit='acres').add_to(my_map)
Out[219]:
<folium.plugins.measure_control.MeasureControl at 0x1fa389cbee0>
In [220]:
# Settings for geojson layers. 
# ----------------------------------#
# Dense layer.
tooltip_lp_dense = GeoJsonTooltip(
    fields = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
    aliases = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
    #localize = True,
    sticky = True,
    labels = True,
    style = """
    background-color: #F0EFEF;
    border: 0.5px solid black;
    border-radius: 0.5px,
    box-shadow: 0.5px;
    """,
    max_width = 800
)

map_colors_lp_dense = lambda x: {
    'fillColor': 'blue',
    'color': 'black',
    'weight': 2,
    'fillOpacity': 0.30
}

# Sparse layer.
tooltip_lp_sparse = GeoJsonTooltip(
    fields = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
    aliases = ['h3_level8_index', 'Weighted Service Request per sqkm', 'Outlier yes/no', 'Population density class'],
    #localize = True,
    sticky = True,
    labels = True,
    style = """
    background-color: #F0EFEF;
    border: 0.5px solid black;
    border-radius: 0.5px,
    box-shadow: 0.5px;
    """,
    max_width = 800
)

map_colors_lp_sparse = lambda x: {
    'fillColor': 'yellow',
    'color': 'black',
    'weight': 2,
    'fillOpacity': 0.30
}
# ----------------------------------#
# Add Polygons.
# GeoDataFrames can be added as geojson.
folium.GeoJson(
    hex_dens_gpd_dense,
    name = 'Densely Populated Level 8 Hex',
    style_function = map_colors_lp_dense,
    tooltip = tooltip_lp_dense
).add_to(my_map)

folium.GeoJson(
    hex_dens_gpd_sparse,
    name = 'Sparsely Populated Level 8 Hex',
    style_function = map_colors_lp_sparse,
    tooltip = tooltip_lp_sparse
).add_to(my_map)

# ----------------------------------#
# Add a layer control panel to the map. #NOTE LAYER CONTROL MUST BE ADDED AFTER ALL POINTS/POLYGONS ARE ADDED TO MAP.
my_map.add_child(folium.LayerControl())
Out[220]:
Make this Notebook Trusted to load map: File -> Trust Notebook

In general the use of service request density proved to reasonably align to population density. There are, however a few observed anomolies where areas known to have high population density are reflected as sparse due to the limited number of service requests submitted in those areas e.g. Mitchells Plain.
Observably, much of the dense catergorisation coincides with lower-income areas. This is somewhat unexpected as one would consider access to facilities e.g. internet, data etc. that would allow them to submit issues, would be limited in these communities, however the output refelcts a higher demand for services in these areas.
Unpopulated areas e.g. Cape Point nature reserve has many spatially distributed service requests, which is likely due to the incorrect coordinates been submitted. However, favourably, the binary classification approach was also able to detect smaller densely popluated areas such as Imizamo Yethu informal settlement (Hout Bay).
Areas indicated as dense are observed to be located to primary transport routes e.g. Southern railway line, N2, M7, R300 etc. As high volumes of commuters more regulalry traverse these spaces, it is likely that episodic occurences that impact broader safety e.g. traffic problems, animals, vandalism etc. would be reported, with the added likelihood that multiple individuals may report the same event.

In [ ]: